id sid tid token lemma pos cana-6325 1 1 communications communication NOUN cana-6325 1 2 on on ADP cana-6325 1 3 applied apply VERB cana-6325 1 4 nonlinear nonlinear ADJ cana-6325 1 5 analysis analysis NOUN cana-6325 1 6 issn issn NOUN cana-6325 1 7 : : PUNCT cana-6325 1 8 1074 1074 NUM cana-6325 1 9 - - PUNCT cana-6325 1 10 133x 133x NUM cana-6325 1 11 vol vol NOUN cana-6325 1 12 32 32 NUM cana-6325 1 13 no no NOUN cana-6325 1 14 . . PUNCT cana-6325 2 1 3s 3s NUM cana-6325 2 2 ( ( PUNCT cana-6325 2 3 2025 2025 NUM cana-6325 2 4 ) ) PUNCT cana-6325 2 5 888 888 NUM cana-6325 2 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 2 7 multi multi ADJ cana-6325 2 8 - - ADJ cana-6325 2 9 label label ADJ cana-6325 2 10 categorical categorical ADJ cana-6325 2 11 data datum NOUN cana-6325 2 12 using use VERB cana-6325 2 13 orthogonal orthogonal NOUN cana-6325 2 14 - - PUNCT cana-6325 2 15 constrained constrain VERB cana-6325 2 16 metaheuristic metaheuristic ADJ cana-6325 2 17 adaptive adaptive ADJ cana-6325 2 18 multi multi ADJ cana-6325 2 19 - - ADJ cana-6325 2 20 view view ADJ cana-6325 2 21 clustering cluster VERB cana-6325 2 22 babu babu PROPN cana-6325 2 23 karri1 karri1 PROPN cana-6325 2 24 , , PUNCT cana-6325 2 25 suresh suresh PROPN cana-6325 2 26 babu babu PROPN cana-6325 2 27 yalavarthi2 yalavarthi2 PROPN cana-6325 2 28 , , PUNCT cana-6325 2 29 sk sk PROPN cana-6325 2 30 althaf althaf PROPN cana-6325 2 31 hussain hussain PROPN cana-6325 2 32 basha3 basha3 PROPN cana-6325 2 33 1 1 X cana-6325 2 34 . . PUNCT cana-6325 3 1 babu babu PROPN cana-6325 3 2 karri karri PROPN cana-6325 3 3 , , PUNCT cana-6325 3 4 research research NOUN cana-6325 3 5 scholar scholar NOUN cana-6325 3 6 , , PUNCT cana-6325 3 7 acharya acharya PROPN cana-6325 3 8 nagarjuna nagarjuna PROPN cana-6325 3 9 university university PROPN cana-6325 3 10 , , PUNCT cana-6325 3 11 guntur guntur PROPN cana-6325 3 12 . . PUNCT cana-6325 4 1 e e X cana-6325 4 2 - - NOUN cana-6325 4 3 mail mail NOUN cana-6325 4 4 karrribabu@gmail.com karrribabu@gmail.com NOUN cana-6325 4 5 2 2 X cana-6325 4 6 . . X cana-6325 4 7 suresh suresh PROPN cana-6325 4 8 babu babu PROPN cana-6325 4 9 yalavarthi yalavarthi PROPN cana-6325 4 10 , , PUNCT cana-6325 4 11 professor professor NOUN cana-6325 4 12 and and CCONJ cana-6325 4 13 director director NOUN cana-6325 4 14 for for ADP cana-6325 4 15 mca mca PROPN cana-6325 4 16 , , PUNCT cana-6325 4 17 jagarlamudi jagarlamudi PROPN cana-6325 4 18 kuppuswamy kuppuswamy PROPN cana-6325 4 19 choudary choudary PROPN cana-6325 4 20 college college PROPN cana-6325 4 21 , , PUNCT cana-6325 4 22 guntur guntur PROPN cana-6325 4 23 ; ; PUNCT cana-6325 4 24 e e X cana-6325 4 25 - - NOUN cana-6325 4 26 mai;l mai;l ADJ cana-6325 4 27 yalavarthi_s@yahoo.com yalavarthi_s@yahoo.com X cana-6325 5 1 3 3 X cana-6325 5 2 . . X cana-6325 5 3 sk sk PROPN cana-6325 5 4 althaf althaf PROPN cana-6325 5 5 hussain hussain PROPN cana-6325 5 6 basha basha PROPN cana-6325 5 7 , , PUNCT cana-6325 5 8 principal principal NOUN cana-6325 5 9 and and CCONJ cana-6325 5 10 professor professor NOUN cana-6325 5 11 of of ADP cana-6325 5 12 cse cse PROPN cana-6325 5 13 , , PUNCT cana-6325 5 14 rishi rishi PROPN cana-6325 5 15 ms ms PROPN cana-6325 5 16 institute institute PROPN cana-6325 5 17 of of ADP cana-6325 5 18 engineering engineering NOUN cana-6325 5 19 and and CCONJ cana-6325 5 20 technology technology NOUN cana-6325 5 21 for for ADP cana-6325 5 22 women woman NOUN cana-6325 5 23 , , PUNCT cana-6325 5 24 hyderabad hyderabad PROPN cana-6325 5 25 , , PUNCT cana-6325 5 26 telangana telangana PROPN cana-6325 5 27 , , PUNCT cana-6325 5 28 india india PROPN cana-6325 5 29 . . PUNCT cana-6325 6 1 email email PROPN cana-6325 6 2 i.d i.d PROPN cana-6325 6 3 . . PUNCT cana-6325 6 4 : : PUNCT cana-6325 7 1 althafbashacse@gmail.com althafbashacse@gmail.com X cana-6325 8 1 article article NOUN cana-6325 8 2 history history NOUN cana-6325 8 3 : : PUNCT cana-6325 8 4 received receive VERB cana-6325 8 5 : : PUNCT cana-6325 8 6 04 04 NUM cana-6325 8 7 - - PUNCT cana-6325 8 8 01 01 NUM cana-6325 8 9 - - PUNCT cana-6325 8 10 2025 2025 NUM cana-6325 8 11 revised revise VERB cana-6325 8 12 : : PUNCT cana-6325 8 13 23 23 NUM cana-6325 8 14 - - SYM cana-6325 8 15 01 01 NUM cana-6325 8 16 - - PUNCT cana-6325 8 17 2025 2025 NUM cana-6325 8 18 accepted accept VERB cana-6325 8 19 : : PUNCT cana-6325 8 20 26 26 NUM cana-6325 8 21 - - PUNCT cana-6325 8 22 02 02 NUM cana-6325 8 23 - - PUNCT cana-6325 8 24 2025 2025 NUM cana-6325 8 25 abstract abstract NOUN cana-6325 8 26 : : PUNCT cana-6325 8 27 clustering clustering NOUN cana-6325 8 28 is be AUX cana-6325 8 29 a a DET cana-6325 8 30 fundamental fundamental ADJ cana-6325 8 31 concept concept NOUN cana-6325 8 32 in in ADP cana-6325 8 33 data datum NOUN cana-6325 8 34 mining mining NOUN cana-6325 8 35 for for ADP cana-6325 8 36 real real ADJ cana-6325 8 37 - - PUNCT cana-6325 8 38 time time NOUN cana-6325 8 39 data datum NOUN cana-6325 8 40 processing processing NOUN cana-6325 8 41 ; ; PUNCT cana-6325 8 42 nevertheless nevertheless ADV cana-6325 8 43 , , PUNCT cana-6325 8 44 assessing assess VERB cana-6325 8 45 how how SCONJ cana-6325 8 46 well well ADV cana-6325 8 47 attributes attribute NOUN cana-6325 8 48 are be AUX cana-6325 8 49 represented represent VERB cana-6325 8 50 in in ADP cana-6325 8 51 clustering clustering NOUN cana-6325 8 52 is be AUX cana-6325 8 53 a a DET cana-6325 8 54 major major ADJ cana-6325 8 55 challenge challenge NOUN cana-6325 8 56 in in ADP cana-6325 8 57 ai ai ADJ cana-6325 8 58 - - PUNCT cana-6325 8 59 related relate VERB cana-6325 8 60 fields field NOUN cana-6325 8 61 . . PUNCT cana-6325 9 1 a a DET cana-6325 9 2 popular popular ADJ cana-6325 9 3 idea idea NOUN cana-6325 9 4 in in ADP cana-6325 9 5 multi multi ADJ cana-6325 9 6 - - ADJ cana-6325 9 7 labeled label VERB cana-6325 9 8 categorical categorical ADJ cana-6325 9 9 data datum NOUN cana-6325 9 10 analysis analysis NOUN cana-6325 9 11 , , PUNCT cana-6325 9 12 multi multi ADJ cana-6325 9 13 - - ADJ cana-6325 9 14 labeled labeled ADJ cana-6325 9 15 clustering clustering NOUN cana-6325 9 16 provides provide VERB cana-6325 9 17 a a DET cana-6325 9 18 wealth wealth NOUN cana-6325 9 19 of of ADP cana-6325 9 20 useful useful ADJ cana-6325 9 21 information information NOUN cana-6325 9 22 for for ADP cana-6325 9 23 attribute attribute NOUN cana-6325 9 24 assessment assessment NOUN cana-6325 9 25 and and CCONJ cana-6325 9 26 representation representation NOUN cana-6325 9 27 . . PUNCT cana-6325 10 1 the the DET cana-6325 10 2 objective objective NOUN cana-6325 10 3 of of ADP cana-6325 10 4 multi multi ADJ cana-6325 10 5 - - ADJ cana-6325 10 6 dimensional dimensional ADJ cana-6325 10 7 clustering clustering NOUN cana-6325 10 8 is be AUX cana-6325 10 9 to to PART cana-6325 10 10 produce produce VERB cana-6325 10 11 accurate accurate ADJ cana-6325 10 12 clustering clustering NOUN cana-6325 10 13 results result NOUN cana-6325 10 14 under under ADP cana-6325 10 15 varied varied ADJ cana-6325 10 16 settings setting NOUN cana-6325 10 17 by by ADP cana-6325 10 18 combining combine VERB cana-6325 10 19 complementing complement VERB cana-6325 10 20 data datum NOUN cana-6325 10 21 from from ADP cana-6325 10 22 several several ADJ cana-6325 10 23 dimensions.to dimensions.to NUM cana-6325 10 24 visualize visualize VERB cana-6325 10 25 the the DET cana-6325 10 26 data datum NOUN cana-6325 10 27 as as ADP cana-6325 10 28 a a DET cana-6325 10 29 cluster cluster NOUN cana-6325 10 30 with with ADP cana-6325 10 31 several several ADJ cana-6325 10 32 categories category NOUN cana-6325 10 33 , , PUNCT cana-6325 10 34 we we PRON cana-6325 10 35 offer offer VERB cana-6325 10 36 a a DET cana-6325 10 37 new new ADJ cana-6325 10 38 method method NOUN cana-6325 10 39 in in ADP cana-6325 10 40 this this DET cana-6325 10 41 study study NOUN cana-6325 10 42 called call VERB cana-6325 10 43 orthogonal orthogonal NOUN cana-6325 10 44 constrained constrain VERB cana-6325 10 45 meta meta ADJ cana-6325 10 46 heuristic heuristic ADJ cana-6325 10 47 adaptive adaptive ADJ cana-6325 10 48 multi multi ADJ cana-6325 10 49 - - ADJ cana-6325 10 50 view view ADJ cana-6325 10 51 clustering clustering NOUN cana-6325 10 52 ( ( PUNCT cana-6325 10 53 ocmhamvc ocmhamvc NOUN cana-6325 10 54 ) ) PUNCT cana-6325 10 55 . . PUNCT cana-6325 11 1 one one NUM cana-6325 11 2 method method NOUN cana-6325 11 3 that that PRON cana-6325 11 4 has have AUX cana-6325 11 5 been be AUX cana-6325 11 6 suggested suggest VERB cana-6325 11 7 uses use VERB cana-6325 11 8 multi multi ADJ cana-6325 11 9 - - ADJ cana-6325 11 10 labeled label VERB cana-6325 11 11 data datum NOUN cana-6325 11 12 to to ADP cana-6325 11 13 group group NOUN cana-6325 11 14 comparable comparable ADJ cana-6325 11 15 labeled label VERB cana-6325 11 16 samples sample NOUN cana-6325 11 17 into into ADP cana-6325 11 18 dimensional dimensional ADJ cana-6325 11 19 data datum NOUN cana-6325 11 20 concepts concept NOUN cana-6325 11 21 and and CCONJ cana-6325 11 22 then then ADV cana-6325 11 23 uses use VERB cana-6325 11 24 the the DET cana-6325 11 25 optimal optimal ADJ cana-6325 11 26 matrix matrix NOUN cana-6325 11 27 factorization factorization NOUN cana-6325 11 28 ( ( PUNCT cana-6325 11 29 omf omf NOUN cana-6325 11 30 ) ) PUNCT cana-6325 11 31 method method NOUN cana-6325 11 32 to to PART cana-6325 11 33 assess assess VERB cana-6325 11 34 low low ADJ cana-6325 11 35 - - PUNCT cana-6325 11 36 dimensional dimensional ADJ cana-6325 11 37 data datum NOUN cana-6325 11 38 . . PUNCT cana-6325 12 1 then then ADV cana-6325 12 2 , , PUNCT cana-6325 12 3 we we PRON cana-6325 12 4 use use VERB cana-6325 12 5 an an DET cana-6325 12 6 adaptive adaptive ADJ cana-6325 12 7 heuristic heuristic NOUN cana-6325 12 8 to to PART cana-6325 12 9 merge merge VERB cana-6325 12 10 complimentary complimentary ADJ cana-6325 12 11 data datum NOUN cana-6325 12 12 from from ADP cana-6325 12 13 multiple multiple ADJ cana-6325 12 14 dimensions dimension NOUN cana-6325 12 15 and and CCONJ cana-6325 12 16 show show VERB cana-6325 12 17 the the DET cana-6325 12 18 data datum NOUN cana-6325 12 19 in in ADP cana-6325 12 20 an an DET cana-6325 12 21 orthonormality orthonormality NOUN cana-6325 12 22 - - PUNCT cana-6325 12 23 constrained constrain VERB cana-6325 12 24 way way NOUN cana-6325 12 25 . . PUNCT cana-6325 13 1 we we PRON cana-6325 13 2 also also ADV cana-6325 13 3 add add VERB cana-6325 13 4 complexity complexity NOUN cana-6325 13 5 to to ADP cana-6325 13 6 the the DET cana-6325 13 7 computational computational ADJ cana-6325 13 8 analysis analysis NOUN cana-6325 13 9 of of ADP cana-6325 13 10 the the DET cana-6325 13 11 data datum NOUN cana-6325 13 12 . . PUNCT cana-6325 14 1 testing test VERB cana-6325 14 2 the the DET cana-6325 14 3 suggested suggest VERB cana-6325 14 4 method method NOUN cana-6325 14 5 on on ADP cana-6325 14 6 large large ADJ cana-6325 14 7 datasets dataset NOUN cana-6325 14 8 with with ADP cana-6325 14 9 many many ADJ cana-6325 14 10 views view NOUN cana-6325 14 11 yields yield NOUN cana-6325 14 12 efficient efficient ADJ cana-6325 14 13 and and CCONJ cana-6325 14 14 scalable scalable ADJ cana-6325 14 15 results result NOUN cana-6325 14 16 when when SCONJ cana-6325 14 17 compared compare VERB cana-6325 14 18 to to ADP cana-6325 14 19 more more ADV cana-6325 14 20 conventional conventional ADJ cana-6325 14 21 clustering clustering ADJ cana-6325 14 22 methods method NOUN cana-6325 14 23 that that PRON cana-6325 14 24 are be AUX cana-6325 14 25 connected connect VERB cana-6325 14 26 to to ADP cana-6325 14 27 various various ADJ cana-6325 14 28 perspectives perspective NOUN cana-6325 14 29 . . PUNCT cana-6325 15 1 key key ADJ cana-6325 15 2 words word NOUN cana-6325 15 3 : : PUNCT cana-6325 15 4 clustering clustering NOUN cana-6325 15 5 , , PUNCT cana-6325 15 6 data datum NOUN cana-6325 15 7 with with ADP cana-6325 15 8 multiple multiple ADJ cana-6325 15 9 labels label NOUN cana-6325 15 10 , , PUNCT cana-6325 15 11 clustering clustering NOUN cana-6325 15 12 , , PUNCT cana-6325 15 13 several several ADJ cana-6325 15 14 views view NOUN cana-6325 15 15 , , PUNCT cana-6325 15 16 meta meta PROPN cana-6325 15 17 heuristic heuristic NOUN cana-6325 15 18 , , PUNCT cana-6325 15 19 document document NOUN cana-6325 15 20 clustering clustering NOUN cana-6325 15 21 . . PUNCT cana-6325 16 1 introduction introduction NOUN cana-6325 16 2 in in ADP cana-6325 16 3 multi multi ADJ cana-6325 16 4 - - ADJ cana-6325 16 5 label label ADJ cana-6325 16 6 classification classification NOUN cana-6325 16 7 ( ( PUNCT cana-6325 16 8 mlc mlc PROPN cana-6325 16 9 ) ) PUNCT cana-6325 16 10 , , PUNCT cana-6325 16 11 each each DET cana-6325 16 12 label label NOUN cana-6325 16 13 represents represent VERB cana-6325 16 14 a a DET cana-6325 16 15 different different ADJ cana-6325 16 16 class class NOUN cana-6325 16 17 or or CCONJ cana-6325 16 18 category category NOUN cana-6325 16 19 and and CCONJ cana-6325 16 20 is be AUX cana-6325 16 21 applied apply VERB cana-6325 16 22 to to ADP cana-6325 16 23 each each DET cana-6325 16 24 instance instance NOUN cana-6325 16 25 in in ADP cana-6325 16 26 turn turn NOUN cana-6325 16 27 . . PUNCT cana-6325 17 1 depending depend VERB cana-6325 17 2 on on ADP cana-6325 17 3 whether whether SCONJ cana-6325 17 4 the the DET cana-6325 17 5 interactions interaction NOUN cana-6325 17 6 between between ADP cana-6325 17 7 labels label NOUN cana-6325 17 8 are be AUX cana-6325 17 9 complimentary complimentary ADJ cana-6325 17 10 , , PUNCT cana-6325 17 11 redundant redundant ADJ cana-6325 17 12 , , PUNCT cana-6325 17 13 or or CCONJ cana-6325 17 14 even even ADV cana-6325 17 15 competing compete VERB cana-6325 17 16 , , PUNCT cana-6325 17 17 mlc mlc PROPN cana-6325 17 18 becomes become VERB cana-6325 17 19 complicated complicated ADJ cana-6325 17 20 . . PUNCT cana-6325 18 1 when when SCONJ cana-6325 18 2 dealing deal VERB cana-6325 18 3 with with ADP cana-6325 18 4 categorical categorical ADJ cana-6325 18 5 data datum NOUN cana-6325 18 6 , , PUNCT cana-6325 18 7 existing exist VERB cana-6325 18 8 methods method NOUN cana-6325 18 9 frequently frequently ADV cana-6325 18 10 encounter encounter VERB cana-6325 18 11 difficulties difficulty NOUN cana-6325 18 12 caused cause VERB cana-6325 18 13 by by ADP cana-6325 18 14 the the DET cana-6325 18 15 lack lack NOUN cana-6325 18 16 of of ADP cana-6325 18 17 inherent inherent ADJ cana-6325 18 18 numerical numerical ADJ cana-6325 18 19 order order NOUN cana-6325 18 20 . . PUNCT cana-6325 19 1 these these DET cana-6325 19 2 intricacies intricacy NOUN cana-6325 19 3 are be AUX cana-6325 19 4 frequently frequently ADV cana-6325 19 5 too too ADV cana-6325 19 6 much much ADJ cana-6325 19 7 for for ADP cana-6325 19 8 traditional traditional ADJ cana-6325 19 9 machine machine NOUN cana-6325 19 10 learning learn VERB cana-6325 19 11 algorithms algorithm NOUN cana-6325 19 12 to to PART cana-6325 19 13 maintain.[1 maintain.[1 VERB cana-6325 19 14 ] ] PUNCT cana-6325 19 15 . . PUNCT cana-6325 20 1 the the DET cana-6325 20 2 consensus consensus NOUN cana-6325 20 3 principle principle NOUN cana-6325 20 4 aims aim VERB cana-6325 20 5 to to PART cana-6325 20 6 maximize maximize VERB cana-6325 20 7 agreement agreement NOUN cana-6325 20 8 among among ADP cana-6325 20 9 competing compete VERB cana-6325 20 10 viewpoints viewpoint NOUN cana-6325 20 11 , , PUNCT cana-6325 20 12 while while SCONJ cana-6325 20 13 the the DET cana-6325 20 14 complementary complementary ADJ cana-6325 20 15 principle principle NOUN cana-6325 20 16 shows show VERB cana-6325 20 17 that that SCONJ cana-6325 20 18 each each DET cana-6325 20 19 perspective perspective NOUN cana-6325 20 20 contains contain VERB cana-6325 20 21 unique unique ADJ cana-6325 20 22 knowledge knowledge NOUN cana-6325 20 23 . . PUNCT cana-6325 21 1 an an DET cana-6325 21 2 ineffective ineffective ADJ cana-6325 21 3 approach approach NOUN cana-6325 21 4 to to ADP cana-6325 21 5 integrating integrate VERB cana-6325 21 6 multiple multiple ADJ cana-6325 21 7 views view NOUN cana-6325 21 8 in in ADP cana-6325 21 9 typical typical ADJ cana-6325 21 10 model model ADJ cana-6325 21 11 - - PUNCT cana-6325 21 12 view view NOUN cana-6325 21 13 - - PUNCT cana-6325 21 14 controller controller NOUN cana-6325 21 15 ( ( PUNCT cana-6325 21 16 mvc mvc NOUN cana-6325 21 17 ) ) PUNCT cana-6325 21 18 systems system NOUN cana-6325 21 19 involves involve VERB cana-6325 21 20 merging merge VERB cana-6325 21 21 features feature NOUN cana-6325 21 22 from from ADP cana-6325 21 23 different different ADJ cana-6325 21 24 views view NOUN cana-6325 21 25 into into ADP cana-6325 21 26 a a DET cana-6325 21 27 single single ADJ cana-6325 21 28 feature feature NOUN cana-6325 21 29 space space NOUN cana-6325 21 30 and and CCONJ cana-6325 21 31 then then ADV cana-6325 21 32 using use VERB cana-6325 21 33 a a DET cana-6325 21 34 single single ADJ cana-6325 21 35 view view NOUN cana-6325 21 36 clustering cluster VERB cana-6325 21 37 algorithm algorithm NOUN cana-6325 21 38 , , PUNCT cana-6325 21 39 such such ADJ cana-6325 21 40 as as ADP cana-6325 21 41 spectral spectral ADJ cana-6325 21 42 clustering clustering NOUN cana-6325 21 43 , , PUNCT cana-6325 21 44 to to PART cana-6325 21 45 achieve achieve VERB cana-6325 21 46 the the DET cana-6325 21 47 desired desire VERB cana-6325 21 48 clustering clustering NOUN cana-6325 21 49 performance performance NOUN cana-6325 21 50 [ [ X cana-6325 21 51 2 2 NUM cana-6325 21 52 ] ] PUNCT cana-6325 21 53 . . PUNCT cana-6325 22 1 the the DET cana-6325 22 2 merging merging NOUN cana-6325 22 3 of of ADP cana-6325 22 4 multi multi ADJ cana-6325 22 5 - - ADJ cana-6325 22 6 view view ADJ cana-6325 22 7 data datum NOUN cana-6325 22 8 often often ADV cana-6325 22 9 overlooks overlook VERB cana-6325 22 10 valuable valuable ADJ cana-6325 22 11 information information NOUN cana-6325 22 12 . . PUNCT cana-6325 23 1 there there PRON cana-6325 23 2 are be VERB cana-6325 23 3 many many ADJ cana-6325 23 4 advanced advanced ADJ cana-6325 23 5 learning learning NOUN cana-6325 23 6 algorithms algorithm NOUN cana-6325 23 7 designed design VERB cana-6325 23 8 for for ADP cana-6325 23 9 maximum maximum ADJ cana-6325 23 10 value value NOUN cana-6325 23 11 convolution convolution NOUN cana-6325 23 12 ( ( PUNCT cana-6325 23 13 mvc mvc NOUN cana-6325 23 14 ) ) PUNCT cana-6325 23 15 , , PUNCT cana-6325 23 16 with with SCONJ cana-6325 23 17 mailto:karrribabu@gmail.com mailto:karrribabu@gmail.com PROPN cana-6325 23 18 mailto:yalavarthi_s@yahoo.com mailto:yalavarthi_s@yahoo.com X cana-6325 23 19 mailto:althafbashacse@gmail.com mailto:althafbashacse@gmail.com PROPN cana-6325 23 20 communications communication NOUN cana-6325 23 21 on on ADP cana-6325 23 22 applied apply VERB cana-6325 23 23 nonlinear nonlinear ADJ cana-6325 23 24 analysis analysis NOUN cana-6325 23 25 issn issn NOUN cana-6325 23 26 : : PUNCT cana-6325 23 27 1074 1074 NUM cana-6325 23 28 - - PUNCT cana-6325 23 29 133x 133x NUM cana-6325 23 30 vol vol NOUN cana-6325 23 31 32 32 NUM cana-6325 23 32 no no NOUN cana-6325 23 33 . . PUNCT cana-6325 24 1 3s 3s NUM cana-6325 24 2 ( ( PUNCT cana-6325 24 3 2025 2025 NUM cana-6325 24 4 ) ) PUNCT cana-6325 24 5 889 889 NUM cana-6325 24 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 24 7 current current ADJ cana-6325 24 8 mvc mvc NOUN cana-6325 24 9 approaches approach NOUN cana-6325 24 10 generally generally ADV cana-6325 24 11 falling fall VERB cana-6325 24 12 into into ADP cana-6325 24 13 two two NUM cana-6325 24 14 categories category NOUN cana-6325 24 15 : : PUNCT cana-6325 24 16 those those PRON cana-6325 24 17 that that PRON cana-6325 24 18 rely rely VERB cana-6325 24 19 on on ADP cana-6325 24 20 representation representation NOUN cana-6325 24 21 learning learn VERB cana-6325 24 22 [ [ X cana-6325 24 23 3 3 NUM cana-6325 24 24 ] ] PUNCT cana-6325 24 25 . . PUNCT cana-6325 25 1 this this DET cana-6325 25 2 overview overview NOUN cana-6325 25 3 will will AUX cana-6325 25 4 cover cover VERB cana-6325 25 5 mvc mvc NOUN cana-6325 25 6 techniques technique NOUN cana-6325 25 7 related relate VERB cana-6325 25 8 to to ADP cana-6325 25 9 representation representation NOUN cana-6325 25 10 learning learning NOUN cana-6325 25 11 , , PUNCT cana-6325 25 12 focusing focus VERB cana-6325 25 13 on on ADP cana-6325 25 14 models model NOUN cana-6325 25 15 that that PRON cana-6325 25 16 incorporate incorporate VERB cana-6325 25 17 an an DET cana-6325 25 18 inner inner ADJ cana-6325 25 19 layer layer NOUN cana-6325 25 20 for for ADP cana-6325 25 21 representation representation NOUN cana-6325 25 22 learning learn VERB cana-6325 25 23 from from ADP cana-6325 25 24 input input NOUN cana-6325 25 25 to to ADP cana-6325 25 26 output output NOUN cana-6325 25 27 . . PUNCT cana-6325 26 1 there there PRON cana-6325 26 2 are be VERB cana-6325 26 3 two two NUM cana-6325 26 4 groups group NOUN cana-6325 26 5 of of ADP cana-6325 26 6 models model NOUN cana-6325 26 7 that that PRON cana-6325 26 8 incorporate incorporate VERB cana-6325 26 9 many many ADJ cana-6325 26 10 perspectives perspective NOUN cana-6325 26 11 : : PUNCT cana-6325 26 12 the the DET cana-6325 26 13 representation representation NOUN cana-6325 26 14 learning learning NOUN cana-6325 26 15 - - PUNCT cana-6325 26 16 based base VERB cana-6325 26 17 mvc mvc NOUN cana-6325 26 18 family family NOUN cana-6325 26 19 and and CCONJ cana-6325 26 20 the the DET cana-6325 26 21 deeprepresentation deeprepresentation NOUN cana-6325 26 22 learning learning NOUN cana-6325 26 23 - - PUNCT cana-6325 26 24 based base VERB cana-6325 26 25 mvc mvc NOUN cana-6325 26 26 group group NOUN cana-6325 26 27 [ [ X cana-6325 26 28 4 4 NUM cana-6325 26 29 ] ] PUNCT cana-6325 26 30 . . PUNCT cana-6325 27 1 the the DET cana-6325 27 2 new new ADJ cana-6325 27 3 model model NOUN cana-6325 27 4 - - PUNCT cana-6325 27 5 view view NOUN cana-6325 27 6 - - PUNCT cana-6325 27 7 controller controller NOUN cana-6325 27 8 ( ( PUNCT cana-6325 27 9 mvc mvc NOUN cana-6325 27 10 ) ) PUNCT cana-6325 27 11 that that PRON cana-6325 27 12 relies rely VERB cana-6325 27 13 on on ADP cana-6325 27 14 deep deep ADJ cana-6325 27 15 representation representation NOUN cana-6325 27 16 learning learning NOUN cana-6325 27 17 can can AUX cana-6325 27 18 manage manage VERB cana-6325 27 19 more more ADV cana-6325 27 20 complicated complicated ADJ cana-6325 27 21 data data NOUN cana-6325 27 22 structures structure NOUN cana-6325 27 23 thanks thank NOUN cana-6325 27 24 to to ADP cana-6325 27 25 its its PRON cana-6325 27 26 deep deep ADJ cana-6325 27 27 network network NOUN cana-6325 27 28 architecture architecture NOUN cana-6325 27 29 overall overall ADJ cana-6325 27 30 categorization categorization NOUN cana-6325 27 31 in in ADP cana-6325 27 32 fig1 fig1 PROPN cana-6325 27 33 . . PUNCT cana-6325 28 1 fig fig PROPN cana-6325 28 2 1:"taxonomy 1:"taxonomy NUM cana-6325 28 3 of of ADP cana-6325 28 4 model model ADJ cana-6325 28 5 - - PUNCT cana-6325 28 6 view view NOUN cana-6325 28 7 - - PUNCT cana-6325 28 8 control control NOUN cana-6325 28 9 ( ( PUNCT cana-6325 28 10 mvc mvc NOUN cana-6325 28 11 ) ) PUNCT cana-6325 28 12 methods method NOUN cana-6325 28 13 2 2 NUM cana-6325 28 14 . . PUNCT cana-6325 28 15 literature literature NOUN cana-6325 28 16 review review NOUN cana-6325 28 17 to to PART cana-6325 28 18 verify verify VERB cana-6325 28 19 obtaining obtain VERB cana-6325 28 20 data datum NOUN cana-6325 28 21 ready ready ADJ cana-6325 28 22 for for ADP cana-6325 28 23 classification classification NOUN cana-6325 28 24 , , PUNCT cana-6325 28 25 feature feature NOUN cana-6325 28 26 selection selection NOUN cana-6325 28 27 is be AUX cana-6325 28 28 an an DET cana-6325 28 29 important important ADJ cana-6325 28 30 first first ADJ cana-6325 28 31 step step NOUN cana-6325 28 32 . . PUNCT cana-6325 29 1 problems problem NOUN cana-6325 29 2 with with ADP cana-6325 29 3 choosing choose VERB cana-6325 29 4 features feature NOUN cana-6325 29 5 have have AUX cana-6325 29 6 been be AUX cana-6325 29 7 effectively effectively ADV cana-6325 29 8 addressed address VERB cana-6325 29 9 by by ADP cana-6325 29 10 optimization optimization NOUN cana-6325 29 11 techniques technique NOUN cana-6325 29 12 that that PRON cana-6325 29 13 take take VERB cana-6325 29 14 into into ADP cana-6325 29 15 account account NOUN cana-6325 29 16 many many ADJ cana-6325 29 17 objectives objective NOUN cana-6325 29 18 . . PUNCT cana-6325 30 1 to to PART cana-6325 30 2 introduce introduce VERB cana-6325 30 3 momfs momfs NOUN cana-6325 30 4 , , PUNCT cana-6325 30 5 a a DET cana-6325 30 6 two two NUM cana-6325 30 7 - - PUNCT cana-6325 30 8 particle particle NOUN cana-6325 30 9 swarm swarm NOUN cana-6325 30 10 - - PUNCT cana-6325 30 11 based base VERB cana-6325 30 12 method method NOUN cana-6325 30 13 for for ADP cana-6325 30 14 selecting select VERB cana-6325 30 15 features feature NOUN cana-6325 30 16 for for ADP cana-6325 30 17 multiobjective multiobjective ADJ cana-6325 30 18 multi multi ADJ cana-6325 30 19 - - ADJ cana-6325 30 20 label label ADJ cana-6325 30 21 filters filter NOUN cana-6325 30 22 in in ADP cana-6325 30 23 wang wang PROPN cana-6325 30 24 et et PROPN cana-6325 30 25 al al PROPN cana-6325 30 26 . . PROPN cana-6325 30 27 , , PUNCT cana-6325 31 1 [ [ X cana-6325 31 2 5 5 X cana-6325 31 3 ] ] PUNCT cana-6325 31 4 zhu zhu PROPN cana-6325 31 5 et et PROPN cana-6325 31 6 al al PROPN cana-6325 31 7 . . PROPN cana-6325 31 8 , , PUNCT cana-6325 32 1 [ [ X cana-6325 32 2 6 6 NUM cana-6325 32 3 ] ] PUNCT cana-6325 32 4 . . PUNCT cana-6325 33 1 they they PRON cana-6325 33 2 have have AUX cana-6325 33 3 deployed deploy VERB cana-6325 33 4 mutual mutual ADJ cana-6325 33 5 information information NOUN cana-6325 33 6 to to PART cana-6325 33 7 gauge gauge VERB cana-6325 33 8 what what PRON cana-6325 33 9 are be AUX cana-6325 33 10 theoretically theoretically ADV cana-6325 33 11 two two NUM cana-6325 33 12 goals goal NOUN cana-6325 33 13 : : PUNCT cana-6325 33 14 feature feature NOUN cana-6325 33 15 redundancy redundancy NOUN cana-6325 33 16 and and CCONJ cana-6325 33 17 the the DET cana-6325 33 18 relationship relationship NOUN cana-6325 33 19 between between ADP cana-6325 33 20 feature feature NOUN cana-6325 33 21 and and CCONJ cana-6325 33 22 label label NOUN cana-6325 33 23 sets set NOUN cana-6325 33 24 . . PUNCT cana-6325 34 1 with with ADP cana-6325 34 2 the the DET cana-6325 34 3 goal goal NOUN cana-6325 34 4 of of ADP cana-6325 34 5 preventing prevent VERB cana-6325 34 6 particle particle NOUN cana-6325 34 7 swarm swarm NOUN cana-6325 34 8 optimization optimization NOUN cana-6325 34 9 ( ( PUNCT cana-6325 34 10 pso pso NOUN cana-6325 34 11 ) ) PUNCT cana-6325 34 12 from from ADP cana-6325 34 13 reaching reach VERB cana-6325 34 14 local local ADJ cana-6325 34 15 optima optima NOUN cana-6325 34 16 and and CCONJ cana-6325 34 17 producing produce VERB cana-6325 34 18 a a DET cana-6325 34 19 misleading misleading ADJ cana-6325 34 20 pareto pareto ADJ cana-6325 34 21 front front NOUN cana-6325 34 22 , , PUNCT cana-6325 34 23 two two NUM cana-6325 34 24 distinct distinct ADJ cana-6325 34 25 objectives objective NOUN cana-6325 34 26 are be AUX cana-6325 34 27 maximized maximize VERB cana-6325 34 28 using use VERB cana-6325 34 29 pso pso NOUN cana-6325 34 30 . . PUNCT cana-6325 35 1 improved improve VERB cana-6325 35 2 hybrid hybrid NOUN cana-6325 35 3 topology topology NOUN cana-6325 35 4 is be AUX cana-6325 35 5 offered offer VERB cana-6325 35 6 according accord VERB cana-6325 35 7 to to ADP cana-6325 35 8 particle particle NOUN cana-6325 35 9 fitness fitness NOUN cana-6325 35 10 value value NOUN cana-6325 35 11 . . PUNCT cana-6325 36 1 there there PRON cana-6325 36 2 is be VERB cana-6325 36 3 also also ADV cana-6325 36 4 a a DET cana-6325 36 5 strategy strategy NOUN cana-6325 36 6 for for ADP cana-6325 36 7 managing manage VERB cana-6325 36 8 archives archive NOUN cana-6325 36 9 that that PRON cana-6325 36 10 will will AUX cana-6325 36 11 ensure ensure VERB cana-6325 36 12 their their PRON cana-6325 36 13 continued continue VERB cana-6325 36 14 circulation circulation NOUN cana-6325 36 15 liu liu PROPN cana-6325 36 16 et et PROPN cana-6325 36 17 al al PROPN cana-6325 36 18 . . PROPN cana-6325 36 19 , , PUNCT cana-6325 37 1 [ [ X cana-6325 37 2 7 7 NUM cana-6325 37 3 ] ] PUNCT cana-6325 37 4 . . PUNCT cana-6325 38 1 nowadays nowadays ADV cana-6325 38 2 , , PUNCT cana-6325 38 3 many many ADJ cana-6325 38 4 apps app NOUN cana-6325 38 5 utilize utilize VERB cana-6325 38 6 multi multi ADJ cana-6325 38 7 - - ADJ cana-6325 38 8 label label ADJ cana-6325 38 9 classification classification NOUN cana-6325 38 10 to to PART cana-6325 38 11 categorize categorize VERB cana-6325 38 12 unknown unknown ADJ cana-6325 38 13 patterns pattern NOUN cana-6325 38 14 into into ADP cana-6325 38 15 multiple multiple ADJ cana-6325 38 16 categories category NOUN cana-6325 38 17 . . PUNCT cana-6325 39 1 researchers researcher NOUN cana-6325 39 2 frequently frequently ADV cana-6325 39 3 employ employ VERB cana-6325 39 4 a a DET cana-6325 39 5 feature feature NOUN cana-6325 39 6 selection selection NOUN cana-6325 39 7 strategy strategy NOUN cana-6325 39 8 based base VERB cana-6325 39 9 on on ADP cana-6325 39 10 genetic genetic ADJ cana-6325 39 11 algorithms algorithm NOUN cana-6325 39 12 to to PART cana-6325 39 13 enhance enhance VERB cana-6325 39 14 the the DET cana-6325 39 15 accuracy accuracy NOUN cana-6325 39 16 of of ADP cana-6325 39 17 multi multi ADJ cana-6325 39 18 - - ADJ cana-6325 39 19 label label ADJ cana-6325 39 20 classification classification NOUN cana-6325 39 21 . . PUNCT cana-6325 40 1 however however ADV cana-6325 40 2 , , PUNCT cana-6325 40 3 genetic genetic ADJ cana-6325 40 4 algorithms algorithm NOUN cana-6325 40 5 can can AUX cana-6325 40 6 be be AUX cana-6325 40 7 time time NOUN cana-6325 40 8 - - PUNCT cana-6325 40 9 consuming consume VERB cana-6325 40 10 as as SCONJ cana-6325 40 11 they they PRON cana-6325 40 12 struggle struggle VERB cana-6325 40 13 to to PART cana-6325 40 14 identify identify VERB cana-6325 40 15 the the DET cana-6325 40 16 best good ADJ cana-6325 40 17 feature feature NOUN cana-6325 40 18 subsets subset NOUN cana-6325 40 19 . . PUNCT cana-6325 41 1 wang wang PROPN cana-6325 41 2 et et PROPN cana-6325 41 3 al al PROPN cana-6325 41 4 . . PUNCT cana-6325 42 1 [ [ X cana-6325 42 2 8 8 NUM cana-6325 42 3 ] ] PUNCT cana-6325 42 4 proposed propose VERB cana-6325 42 5 a a DET cana-6325 42 6 memetic memetic ADJ cana-6325 42 7 feature feature NOUN cana-6325 42 8 selection selection NOUN cana-6325 42 9 approach approach NOUN cana-6325 42 10 for for ADP cana-6325 42 11 multi multi ADJ cana-6325 42 12 - - ADJ cana-6325 42 13 label label ADJ cana-6325 42 14 classification classification NOUN cana-6325 42 15 . . PUNCT cana-6325 43 1 this this DET cana-6325 43 2 approach approach NOUN cana-6325 43 3 aims aim VERB cana-6325 43 4 to to PART cana-6325 43 5 enhance enhance VERB cana-6325 43 6 multi multi ADJ cana-6325 43 7 - - ADJ cana-6325 43 8 label label ADJ cana-6325 43 9 classification classification NOUN cana-6325 43 10 by by ADP cana-6325 43 11 extracting extract VERB cana-6325 43 12 feature feature NOUN cana-6325 43 13 subsets subset NOUN cana-6325 43 14 from from ADP cana-6325 43 15 genetic genetic ADJ cana-6325 43 16 searches search NOUN cana-6325 43 17 that that PRON cana-6325 43 18 have have AUX cana-6325 43 19 been be AUX cana-6325 43 20 optimized optimize VERB cana-6325 43 21 using use VERB cana-6325 43 22 memetic memetic ADJ cana-6325 43 23 data datum NOUN cana-6325 43 24 . . PUNCT cana-6325 44 1 in in ADP cana-6325 44 2 a a DET cana-6325 44 3 separate separate ADJ cana-6325 44 4 study study NOUN cana-6325 44 5 , , PUNCT cana-6325 44 6 liu liu PROPN cana-6325 44 7 et et PROPN cana-6325 44 8 al al PROPN cana-6325 44 9 . . PUNCT cana-6325 45 1 [ [ X cana-6325 45 2 9 9 NUM cana-6325 45 3 ] ] PUNCT cana-6325 45 4 introduced introduce VERB cana-6325 45 5 a a DET cana-6325 45 6 new new ADJ cana-6325 45 7 multi multi ADJ cana-6325 45 8 - - ADJ cana-6325 45 9 population population ADJ cana-6325 45 10 genetic genetic ADJ cana-6325 45 11 algorithm algorithm NOUN cana-6325 45 12 specifically specifically ADV cana-6325 45 13 designed design VERB cana-6325 45 14 to to PART cana-6325 45 15 tackle tackle VERB cana-6325 45 16 the the DET cana-6325 45 17 feature feature NOUN cana-6325 45 18 selection selection NOUN cana-6325 45 19 issue issue NOUN cana-6325 45 20 in in ADP cana-6325 45 21 the the DET cana-6325 45 22 context context NOUN cana-6325 45 23 of of ADP cana-6325 45 24 multiple multiple ADJ cana-6325 45 25 labels label NOUN cana-6325 45 26 . . PUNCT cana-6325 46 1 their their PRON cana-6325 46 2 experiments experiment NOUN cana-6325 46 3 on on ADP cana-6325 46 4 18 18 NUM cana-6325 46 5 multi multi ADJ cana-6325 46 6 - - ADJ cana-6325 46 7 label label ADJ cana-6325 46 8 datasets dataset NOUN cana-6325 46 9 demonstrated demonstrate VERB cana-6325 46 10 that that SCONJ cana-6325 46 11 this this DET cana-6325 46 12 new new ADJ cana-6325 46 13 approach approach NOUN cana-6325 46 14 outperformed outperform VERB cana-6325 46 15 other other ADJ cana-6325 46 16 multi multi ADJ cana-6325 46 17 - - ADJ cana-6325 46 18 population population NOUN cana-6325 46 19 - - PUNCT cana-6325 46 20 based base VERB cana-6325 46 21 feature feature NOUN cana-6325 46 22 selection selection NOUN cana-6325 46 23 methods method NOUN cana-6325 46 24 . . PUNCT cana-6325 47 1 feature feature NOUN cana-6325 47 2 selection selection NOUN cana-6325 47 3 is be AUX cana-6325 47 4 a a DET cana-6325 47 5 technological technological ADJ cana-6325 47 6 approach approach NOUN cana-6325 47 7 that that PRON cana-6325 47 8 can can AUX cana-6325 47 9 significantly significantly ADV cana-6325 47 10 reduce reduce VERB cana-6325 47 11 the the DET cana-6325 47 12 communications communication NOUN cana-6325 47 13 on on ADP cana-6325 47 14 applied apply VERB cana-6325 47 15 nonlinear nonlinear ADJ cana-6325 47 16 analysis analysis NOUN cana-6325 47 17 issn issn NOUN cana-6325 47 18 : : PUNCT cana-6325 47 19 1074 1074 NUM cana-6325 47 20 - - PUNCT cana-6325 47 21 133x 133x NUM cana-6325 47 22 vol vol NOUN cana-6325 47 23 32 32 NUM cana-6325 47 24 no no NOUN cana-6325 47 25 . . PUNCT cana-6325 48 1 3s 3s NUM cana-6325 48 2 ( ( PUNCT cana-6325 48 3 2025 2025 NUM cana-6325 48 4 ) ) PUNCT cana-6325 48 5 890 890 NUM cana-6325 48 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 48 7 dimensionality dimensionality NOUN cana-6325 48 8 of of ADP cana-6325 48 9 data datum NOUN cana-6325 48 10 . . PUNCT cana-6325 49 1 in in ADP cana-6325 49 2 terms term NOUN cana-6325 49 3 of of ADP cana-6325 49 4 global global ADJ cana-6325 49 5 optimization optimization NOUN cana-6325 49 6 , , PUNCT cana-6325 49 7 the the DET cana-6325 49 8 feature feature NOUN cana-6325 49 9 selection selection NOUN cana-6325 49 10 study study NOUN cana-6325 49 11 demonstrates demonstrate VERB cana-6325 49 12 the the DET cana-6325 49 13 effectiveness effectiveness NOUN cana-6325 49 14 of of ADP cana-6325 49 15 the the DET cana-6325 49 16 multi multi ADJ cana-6325 49 17 - - ADJ cana-6325 49 18 objective objective ADJ cana-6325 49 19 optimization optimization NOUN cana-6325 49 20 approach approach NOUN cana-6325 49 21 . . PUNCT cana-6325 50 1 using use VERB cana-6325 50 2 the the DET cana-6325 50 3 pareto pareto ADJ cana-6325 50 4 relationship relationship NOUN cana-6325 50 5 , , PUNCT cana-6325 50 6 conflicting conflicting ADJ cana-6325 50 7 objectives objective NOUN cana-6325 50 8 in in ADP cana-6325 50 9 multi multi ADJ cana-6325 50 10 - - ADJ cana-6325 50 11 objective objective ADJ cana-6325 50 12 issues issue NOUN cana-6325 50 13 can can AUX cana-6325 50 14 be be AUX cana-6325 50 15 efficiently efficiently ADV cana-6325 50 16 managed manage VERB cana-6325 50 17 . . PUNCT cana-6325 51 1 zhou zhou PROPN cana-6325 51 2 and and CCONJ cana-6325 51 3 liu liu PROPN cana-6325 51 4 , , PUNCT cana-6325 51 5 [ [ X cana-6325 51 6 10 10 NUM cana-6325 51 7 ] ] PUNCT cana-6325 51 8 as as ADP cana-6325 51 9 a a DET cana-6325 51 10 result result NOUN cana-6325 51 11 , , PUNCT cana-6325 51 12 shapfsml shapfsml NOUN cana-6325 51 13 was be AUX cana-6325 51 14 created create VERB cana-6325 51 15 . . PUNCT cana-6325 52 1 it it PRON cana-6325 52 2 is be AUX cana-6325 52 3 a a DET cana-6325 52 4 method method NOUN cana-6325 52 5 for for ADP cana-6325 52 6 selecting select VERB cana-6325 52 7 features feature NOUN cana-6325 52 8 for for ADP cana-6325 52 9 multi multi ADJ cana-6325 52 10 - - ADJ cana-6325 52 11 label label ADJ cana-6325 52 12 learning learning NOUN cana-6325 52 13 that that PRON cana-6325 52 14 combines combine VERB cana-6325 52 15 shapley shapley ADJ cana-6325 52 16 value value NOUN cana-6325 52 17 . . PUNCT cana-6325 53 1 the the DET cana-6325 53 2 mutation mutation NOUN cana-6325 53 3 and and CCONJ cana-6325 53 4 crossover crossover ADP cana-6325 53 5 operators operator NOUN cana-6325 53 6 , , PUNCT cana-6325 53 7 proposed propose VERB cana-6325 53 8 using use VERB cana-6325 53 9 the the DET cana-6325 53 10 shapley shapley NOUN cana-6325 53 11 value value NOUN cana-6325 53 12 , , PUNCT cana-6325 53 13 work work VERB cana-6325 53 14 well well ADV cana-6325 53 15 for for ADP cana-6325 53 16 identifying identify VERB cana-6325 53 17 relevant relevant ADJ cana-6325 53 18 , , PUNCT cana-6325 53 19 unnecessary unnecessary ADJ cana-6325 53 20 , , PUNCT cana-6325 53 21 and and CCONJ cana-6325 53 22 excessive excessive ADJ cana-6325 53 23 features feature NOUN cana-6325 53 24 . . PUNCT cana-6325 54 1 fakhri fakhri PROPN cana-6325 54 2 et et PROPN cana-6325 54 3 al al PROPN cana-6325 54 4 . . PROPN cana-6325 54 5 , , PUNCT cana-6325 55 1 [ [ X cana-6325 55 2 11 11 NUM cana-6325 55 3 ] ] PUNCT cana-6325 55 4 optimization optimization NOUN cana-6325 55 5 goals goal NOUN cana-6325 55 6 that that PRON cana-6325 55 7 include include VERB cana-6325 55 8 several several ADJ cana-6325 55 9 labels label NOUN cana-6325 55 10 are be AUX cana-6325 55 11 considered consider VERB cana-6325 55 12 by by ADP cana-6325 55 13 this this DET cana-6325 55 14 approach approach NOUN cana-6325 55 15 xu xu PROPN cana-6325 55 16 et et PROPN cana-6325 56 1 al al PROPN cana-6325 56 2 . . PROPN cana-6325 56 3 , , PUNCT cana-6325 57 1 [ [ X cana-6325 57 2 12 12 NUM cana-6325 57 3 ] ] X cana-6325 57 4 utilizing utilize VERB cana-6325 57 5 a a DET cana-6325 57 6 feature feature NOUN cana-6325 57 7 selection selection NOUN cana-6325 57 8 strategy strategy NOUN cana-6325 57 9 that that PRON cana-6325 57 10 considers consider VERB cana-6325 57 11 multiple multiple ADJ cana-6325 57 12 objectives objective NOUN cana-6325 57 13 can can AUX cana-6325 57 14 enhance enhance VERB cana-6325 57 15 the the DET cana-6325 57 16 accuracy accuracy NOUN cana-6325 57 17 of of ADP cana-6325 57 18 multi multi ADJ cana-6325 57 19 - - ADJ cana-6325 57 20 label label ADJ cana-6325 57 21 classification classification NOUN cana-6325 57 22 . . PUNCT cana-6325 58 1 a a DET cana-6325 58 2 preliminary preliminary ADJ cana-6325 58 3 step step NOUN cana-6325 58 4 in in ADP cana-6325 58 5 addressing address VERB cana-6325 58 6 multilabel multilabel NOUN cana-6325 58 7 classification classification NOUN cana-6325 58 8 challenges challenge NOUN cana-6325 58 9 is be AUX cana-6325 58 10 feature feature NOUN cana-6325 58 11 selection selection NOUN cana-6325 58 12 , , PUNCT cana-6325 58 13 which which PRON cana-6325 58 14 aims aim VERB cana-6325 58 15 to to PART cana-6325 58 16 identify identify VERB cana-6325 58 17 relevant relevant ADJ cana-6325 58 18 attributes attribute NOUN cana-6325 58 19 . . PUNCT cana-6325 59 1 to to PART cana-6325 59 2 optimize optimize VERB cana-6325 59 3 classification classification NOUN cana-6325 59 4 efficiency efficiency NOUN cana-6325 59 5 and and CCONJ cana-6325 59 6 minimize minimize VERB cana-6325 59 7 computational computational ADJ cana-6325 59 8 expenses expense NOUN cana-6325 59 9 , , PUNCT cana-6325 59 10 it it PRON cana-6325 59 11 is be AUX cana-6325 59 12 feasible feasible ADJ cana-6325 59 13 to to PART cana-6325 59 14 select select VERB cana-6325 59 15 a a DET cana-6325 59 16 small small ADJ cana-6325 59 17 number number NOUN cana-6325 59 18 of of ADP cana-6325 59 19 outstanding outstanding ADJ cana-6325 59 20 characteristics characteristic NOUN cana-6325 59 21 . . PUNCT cana-6325 60 1 the the DET cana-6325 60 2 research research NOUN cana-6325 60 3 emphasizes emphasize VERB cana-6325 60 4 the the DET cana-6325 60 5 need need NOUN cana-6325 60 6 for for ADP cana-6325 60 7 an an DET cana-6325 60 8 optimization optimization NOUN cana-6325 60 9 strategy strategy NOUN cana-6325 60 10 with with ADP cana-6325 60 11 multiple multiple ADJ cana-6325 60 12 objectives objective NOUN cana-6325 60 13 . . PUNCT cana-6325 61 1 huang huang PROPN cana-6325 61 2 et et PROPN cana-6325 61 3 al al PROPN cana-6325 61 4 . . PROPN cana-6325 61 5 , , PUNCT cana-6325 61 6 [ [ X cana-6325 61 7 13 13 NUM cana-6325 61 8 ] ] PUNCT cana-6325 61 9 when when SCONJ cana-6325 61 10 dealing deal VERB cana-6325 61 11 with with ADP cana-6325 61 12 numerous numerous ADJ cana-6325 61 13 labels label NOUN cana-6325 61 14 , , PUNCT cana-6325 61 15 effectively effectively ADV cana-6325 61 16 managing manage VERB cana-6325 61 17 feature feature NOUN cana-6325 61 18 selection selection NOUN cana-6325 61 19 involves involve VERB cana-6325 61 20 identifying identify VERB cana-6325 61 21 a a DET cana-6325 61 22 subset subset NOUN cana-6325 61 23 of of ADP cana-6325 61 24 features feature NOUN cana-6325 61 25 within within ADP cana-6325 61 26 a a DET cana-6325 61 27 complex complex ADJ cana-6325 61 28 , , PUNCT cana-6325 61 29 large large ADJ cana-6325 61 30 - - PUNCT cana-6325 61 31 scale scale NOUN cana-6325 61 32 search search NOUN cana-6325 61 33 space space NOUN cana-6325 61 34 . . PUNCT cana-6325 62 1 this this PRON cana-6325 62 2 can can AUX cana-6325 62 3 be be AUX cana-6325 62 4 achieved achieve VERB cana-6325 62 5 by by ADP cana-6325 62 6 using use VERB cana-6325 62 7 a a DET cana-6325 62 8 reference reference NOUN cana-6325 62 9 - - PUNCT cana-6325 62 10 based base VERB cana-6325 62 11 multi multi ADJ cana-6325 62 12 - - ADJ cana-6325 62 13 objective objective ADJ cana-6325 62 14 optimization optimization NOUN cana-6325 62 15 strategy strategy NOUN cana-6325 62 16 designed design VERB cana-6325 62 17 for for ADP cana-6325 62 18 multi multi ADJ cana-6325 62 19 - - ADJ cana-6325 62 20 label label ADJ cana-6325 62 21 data datum NOUN cana-6325 62 22 to to PART cana-6325 62 23 select select VERB cana-6325 62 24 features feature NOUN cana-6325 62 25 in in ADP cana-6325 62 26 qi qi PROPN cana-6325 62 27 et et PROPN cana-6325 62 28 al al PROPN cana-6325 62 29 . . PROPN cana-6325 62 30 , , PUNCT cana-6325 63 1 [ [ X cana-6325 63 2 14 14 NUM cana-6325 63 3 ] ] X cana-6325 63 4 an an DET cana-6325 63 5 evolutionary evolutionary ADJ cana-6325 63 6 method method NOUN cana-6325 63 7 can can AUX cana-6325 63 8 solve solve VERB cana-6325 63 9 the the DET cana-6325 63 10 issue issue NOUN cana-6325 63 11 of of ADP cana-6325 63 12 multi multi ADJ cana-6325 63 13 - - ADJ cana-6325 63 14 label label ADJ cana-6325 63 15 feature feature NOUN cana-6325 63 16 selection selection NOUN cana-6325 63 17 in in ADP cana-6325 63 18 parallel parallel NOUN cana-6325 63 19 by by ADP cana-6325 63 20 dividing divide VERB cana-6325 63 21 it it PRON cana-6325 63 22 into into ADP cana-6325 63 23 smaller small ADJ cana-6325 63 24 , , PUNCT cana-6325 63 25 more more ADV cana-6325 63 26 manageable manageable ADJ cana-6325 63 27 subproblems subproblem NOUN cana-6325 63 28 , , PUNCT cana-6325 63 29 similar similar ADJ cana-6325 63 30 to to ADP cana-6325 63 31 a a DET cana-6325 63 32 decomposition decomposition NOUN cana-6325 63 33 - - PUNCT cana-6325 63 34 based base VERB cana-6325 63 35 multiobjective multiobjective ADJ cana-6325 63 36 optimization optimization NOUN cana-6325 63 37 approach.trigeorgis approach.trigeorgis PROPN cana-6325 63 38 et et PROPN cana-6325 63 39 al al PROPN cana-6325 63 40 . . PUNCT cana-6325 64 1 [ [ X cana-6325 64 2 15 15 NUM cana-6325 64 3 ] ] PUNCT cana-6325 64 4 to to PART cana-6325 64 5 address address VERB cana-6325 64 6 new new ADJ cana-6325 64 7 information information NOUN cana-6325 64 8 concerns concern NOUN cana-6325 64 9 , , PUNCT cana-6325 64 10 a a DET cana-6325 64 11 comprehensive comprehensive ADJ cana-6325 64 12 two two NUM cana-6325 64 13 - - PUNCT cana-6325 64 14 dimensional dimensional ADJ cana-6325 64 15 representation representation NOUN cana-6325 64 16 was be AUX cana-6325 64 17 obtained obtain VERB cana-6325 64 18 using use VERB cana-6325 64 19 the the DET cana-6325 64 20 grid grid NOUN cana-6325 64 21 premise premise NOUN cana-6325 64 22 . . PUNCT cana-6325 65 1 as as ADP cana-6325 65 2 a a DET cana-6325 65 3 result result NOUN cana-6325 65 4 , , PUNCT cana-6325 65 5 the the DET cana-6325 65 6 results result NOUN cana-6325 65 7 of of ADP cana-6325 65 8 the the DET cana-6325 65 9 deep deep ADJ cana-6325 65 10 representation representation NOUN cana-6325 65 11 in in ADP cana-6325 65 12 low low ADJ cana-6325 65 13 dimensions dimension NOUN cana-6325 65 14 were be AUX cana-6325 65 15 directly directly ADV cana-6325 65 16 affected affect VERB cana-6325 65 17 by by ADP cana-6325 65 18 the the DET cana-6325 65 19 basic basic ADJ cana-6325 65 20 architecture architecture NOUN cana-6325 65 21 . . PUNCT cana-6325 66 1 this this DET cana-6325 66 2 method method NOUN cana-6325 66 3 explores explore VERB cana-6325 66 4 a a DET cana-6325 66 5 thorough thorough ADJ cana-6325 66 6 two two NUM cana-6325 66 7 - - PUNCT cana-6325 66 8 dimensional dimensional ADJ cana-6325 66 9 depiction depiction NOUN cana-6325 66 10 of of ADP cana-6325 66 11 the the DET cana-6325 66 12 basic basic ADJ cana-6325 66 13 data data NOUN cana-6325 66 14 structure structure NOUN cana-6325 66 15 . . PUNCT cana-6325 67 1 , , PUNCT cana-6325 67 2 zhao zhao PROPN cana-6325 67 3 et et PROPN cana-6325 67 4 al al PROPN cana-6325 67 5 . . PUNCT cana-6325 68 1 [ [ X cana-6325 68 2 16 16 NUM cana-6325 68 3 ] ] PUNCT cana-6325 68 4 factorization factorization NOUN cana-6325 68 5 in in ADP cana-6325 68 6 practice practice NOUN cana-6325 68 7 is be AUX cana-6325 68 8 associated associate VERB cana-6325 68 9 with with ADP cana-6325 68 10 a a DET cana-6325 68 11 deep deep ADJ cana-6325 68 12 premise premise NOUN cana-6325 68 13 framework framework NOUN cana-6325 68 14 , , PUNCT cana-6325 68 15 and and CCONJ cana-6325 68 16 it it PRON cana-6325 68 17 has have AUX cana-6325 68 18 been be AUX cana-6325 68 19 suggested suggest VERB cana-6325 68 20 that that SCONJ cana-6325 68 21 a a DET cana-6325 68 22 deep deep ADJ cana-6325 68 23 premise premise NOUN cana-6325 68 24 picture picture NOUN cana-6325 68 25 learning learning NOUN cana-6325 68 26 - - PUNCT cana-6325 68 27 dependent dependent ADJ cana-6325 68 28 nmf nmf NOUN cana-6325 68 29 approach approach NOUN cana-6325 68 30 be be AUX cana-6325 68 31 implemented implement VERB cana-6325 68 32 . . PUNCT cana-6325 69 1 r. r. PROPN cana-6325 69 2 zhang zhang PROPN cana-6325 69 3 et et PROPN cana-6325 69 4 al al PROPN cana-6325 69 5 . . PUNCT cana-6325 70 1 [ [ X cana-6325 70 2 17 17 NUM cana-6325 70 3 ] ] PUNCT cana-6325 70 4 create create VERB cana-6325 70 5 the the DET cana-6325 70 6 innate innate ADJ cana-6325 70 7 diagram diagram NOUN cana-6325 70 8 and and CCONJ cana-6325 70 9 the the DET cana-6325 70 10 punishment punishment NOUN cana-6325 70 11 chart chart NOUN cana-6325 70 12 independently independently ADV cana-6325 70 13 using use VERB cana-6325 70 14 the the DET cana-6325 70 15 paired pair VERB cana-6325 70 16 requirement requirement NOUN cana-6325 70 17 data datum NOUN cana-6325 70 18 . . PUNCT cana-6325 71 1 d.a d.a PROPN cana-6325 71 2 . . PROPN cana-6325 71 3 spielman spielman PROPN cana-6325 71 4 et et PROPN cana-6325 71 5 al al PROPN cana-6325 71 6 . . PUNCT cana-6325 72 1 [ [ X cana-6325 72 2 18 18 NUM cana-6325 72 3 ] ] PUNCT cana-6325 72 4 created create VERB cana-6325 72 5 a a DET cana-6325 72 6 progressive progressive ADJ cana-6325 72 7 bipartite bipartite PROPN cana-6325 72 8 diagram diagram NOUN cana-6325 72 9 by by ADP cana-6325 72 10 utilizing utilize VERB cana-6325 72 11 multi multi ADJ cana-6325 72 12 - - ADJ cana-6325 72 13 layered layered ADJ cana-6325 72 14 pyramid pyramid NOUN cana-6325 72 15 - - PUNCT cana-6325 72 16 style style NOUN cana-6325 72 17 structures structure NOUN cana-6325 72 18 . . PUNCT cana-6325 73 1 finally finally ADV cana-6325 73 2 , , PUNCT cana-6325 73 3 the the DET cana-6325 73 4 gathering gathering NOUN cana-6325 73 5 structure structure NOUN cana-6325 73 6 maximizes maximize VERB cana-6325 73 7 the the DET cana-6325 73 8 use use NOUN cana-6325 73 9 of of ADP cana-6325 73 10 svm svm PROPN cana-6325 73 11 d. d. PROPN cana-6325 73 12 hidru hidru PROPN cana-6325 73 13 et et PROPN cana-6325 73 14 al al PROPN cana-6325 73 15 . . PUNCT cana-6325 74 1 [ [ X cana-6325 74 2 19]presented 19]presented NUM cana-6325 74 3 here here ADV cana-6325 74 4 is be AUX cana-6325 74 5 a a DET cana-6325 74 6 novel novel ADJ cana-6325 74 7 approach approach NOUN cana-6325 74 8 , , PUNCT cana-6325 74 9 ocmhamcv ocmhamcv PROPN cana-6325 74 10 , , PUNCT cana-6325 74 11 which which PRON cana-6325 74 12 stands stand VERB cana-6325 74 13 for for ADP cana-6325 74 14 orthogonal orthogonal ADJ cana-6325 74 15 constrained constrain VERB cana-6325 74 16 meta meta ADJ cana-6325 74 17 heuristic heuristic ADJ cana-6325 74 18 adaptive adaptive ADJ cana-6325 74 19 multi multi ADJ cana-6325 74 20 - - ADJ cana-6325 74 21 view view ADJ cana-6325 74 22 cluster.yang cluster.yang PROPN cana-6325 74 23 , , PUNCT cana-6325 74 24 s. s. PROPN cana-6325 74 25 , , PUNCT cana-6325 74 26 and and CCONJ cana-6325 74 27 zhang zhang PROPN cana-6325 74 28 , , PUNCT cana-6325 74 29 y. y. PROPN cana-6325 75 1 [ [ X cana-6325 75 2 20 20 NUM cana-6325 75 3 ] ] PUNCT cana-6325 75 4 . . PUNCT cana-6325 76 1 the the DET cana-6325 76 2 original original ADJ cana-6325 76 3 goal goal NOUN cana-6325 76 4 of of ADP cana-6325 76 5 the the DET cana-6325 76 6 omf omf NOUN cana-6325 76 7 method method NOUN cana-6325 76 8 was be AUX cana-6325 76 9 to to PART cana-6325 76 10 create create VERB cana-6325 76 11 low low ADJ cana-6325 76 12 - - PUNCT cana-6325 76 13 dimensional dimensional ADJ cana-6325 76 14 data datum NOUN cana-6325 76 15 clusters cluster NOUN cana-6325 76 16 from from ADP cana-6325 76 17 labelled label VERB cana-6325 76 18 samples sample NOUN cana-6325 76 19 of of ADP cana-6325 76 20 data datum NOUN cana-6325 76 21 that that PRON cana-6325 76 22 were be AUX cana-6325 76 23 comparable comparable ADJ cana-6325 76 24 to to ADP cana-6325 76 25 one one NUM cana-6325 76 26 another another DET cana-6325 76 27 . . PUNCT cana-6325 77 1 applying apply VERB cana-6325 77 2 adaptive adaptive ADJ cana-6325 77 3 heuristics heuristic NOUN cana-6325 77 4 to to PART cana-6325 77 5 integrate integrate VERB cana-6325 77 6 complementary complementary ADJ cana-6325 77 7 data datum NOUN cana-6325 77 8 in in ADP cana-6325 77 9 an an DET cana-6325 77 10 appropriate appropriate ADJ cana-6325 77 11 orthonormality orthonormality NOUN cana-6325 77 12 - - PUNCT cana-6325 77 13 constrained constrain VERB cana-6325 77 14 perspective perspective NOUN cana-6325 77 15 increases increase VERB cana-6325 77 16 computational computational ADJ cana-6325 77 17 analysis analysis NOUN cana-6325 77 18 complexity complexity NOUN cana-6325 77 19 along along ADP cana-6325 77 20 several several ADJ cana-6325 77 21 dimensions dimension NOUN cana-6325 77 22 . . PUNCT cana-6325 78 1 key key ADJ cana-6325 78 2 goals goal NOUN cana-6325 78 3 of of ADP cana-6325 78 4 the the DET cana-6325 78 5 suggested suggest VERB cana-6325 78 6 method method NOUN cana-6325 78 7 are be AUX cana-6325 78 8 as as SCONJ cana-6325 78 9 follows follow VERB cana-6325 78 10 : : PUNCT cana-6325 78 11 a a X cana-6325 78 12 ) ) PUNCT cana-6325 78 13 to to PART cana-6325 78 14 introduce introduce VERB cana-6325 78 15 an an DET cana-6325 78 16 unsupervised unsupervised ADJ cana-6325 78 17 multi multi ADJ cana-6325 78 18 - - ADJ cana-6325 78 19 labeled labeled ADJ cana-6325 78 20 clustering clustering ADJ cana-6325 78 21 algorithm algorithm NOUN cana-6325 78 22 that that PRON cana-6325 78 23 utilizes utilize VERB cana-6325 78 24 orthogonal orthogonal ADJ cana-6325 78 25 matrix matrix NOUN cana-6325 78 26 factorization factorization NOUN cana-6325 78 27 a a DET cana-6325 78 28 combination combination NOUN cana-6325 78 29 of of ADP cana-6325 78 30 normalization normalization NOUN cana-6325 78 31 and and CCONJ cana-6325 78 32 orthogonal orthogonal ADJ cana-6325 78 33 constraints constraint NOUN cana-6325 78 34 to to PART cana-6325 78 35 ensure ensure VERB cana-6325 78 36 consistent consistent ADJ cana-6325 78 37 representation representation NOUN cana-6325 78 38 of of ADP cana-6325 78 39 regularities regularity NOUN cana-6325 78 40 across across ADP cana-6325 78 41 different different ADJ cana-6325 78 42 data datum NOUN cana-6325 78 43 perspectives perspective NOUN cana-6325 78 44 . . PUNCT cana-6325 79 1 b b X cana-6325 79 2 ) ) PUNCT cana-6325 79 3 in in ADP cana-6325 79 4 order order NOUN cana-6325 79 5 to to PART cana-6325 79 6 implement implement VERB cana-6325 79 7 an an DET cana-6325 79 8 objective objective ADJ cana-6325 79 9 model model NOUN cana-6325 79 10 , , PUNCT cana-6325 79 11 this this PRON cana-6325 79 12 serves serve VERB cana-6325 79 13 as as ADP cana-6325 79 14 the the DET cana-6325 79 15 baseline baseline NOUN cana-6325 79 16 for for ADP cana-6325 79 17 the the DET cana-6325 79 18 proposed propose VERB cana-6325 79 19 model model NOUN cana-6325 79 20 . . PUNCT cana-6325 80 1 c c X cana-6325 80 2 ) ) PUNCT cana-6325 80 3 to to PART cana-6325 80 4 effectively effectively ADV cana-6325 80 5 assess assess VERB cana-6325 80 6 the the DET cana-6325 80 7 suggested suggest VERB cana-6325 80 8 strategy strategy NOUN cana-6325 80 9 's 's PART cana-6325 80 10 performance performance NOUN cana-6325 80 11 and and CCONJ cana-6325 80 12 compare compare VERB cana-6325 80 13 it it PRON cana-6325 80 14 with with ADP cana-6325 80 15 traditional traditional ADJ cana-6325 80 16 approaches approach NOUN cana-6325 80 17 , , PUNCT cana-6325 80 18 it it PRON cana-6325 80 19 should should AUX cana-6325 80 20 be be AUX cana-6325 80 21 tested test VERB cana-6325 80 22 on on ADP cana-6325 80 23 various various ADJ cana-6325 80 24 real real ADJ cana-6325 80 25 - - PUNCT cana-6325 80 26 time time NOUN cana-6325 80 27 datasets dataset NOUN cana-6325 80 28 , , PUNCT cana-6325 80 29 including include VERB cana-6325 80 30 multi multi ADJ cana-6325 80 31 - - ADJ cana-6325 80 32 labeled label VERB cana-6325 80 33 cluster cluster NOUN cana-6325 80 34 data datum NOUN cana-6325 80 35 . . PUNCT cana-6325 81 1 preliminaries preliminary NOUN cana-6325 81 2 the the DET cana-6325 81 3 suggested suggest VERB cana-6325 81 4 method method NOUN cana-6325 81 5 and and CCONJ cana-6325 81 6 its its PRON cana-6325 81 7 suitable suitable ADJ cana-6325 81 8 procedures procedure NOUN cana-6325 81 9 are be AUX cana-6325 81 10 introduced introduce VERB cana-6325 81 11 in in ADP cana-6325 81 12 this this DET cana-6325 81 13 part part NOUN cana-6325 81 14 , , PUNCT cana-6325 81 15 which which PRON cana-6325 81 16 details detail VERB cana-6325 81 17 the the DET cana-6325 81 18 fundamental fundamental ADJ cana-6325 81 19 preliminary preliminary ADJ cana-6325 81 20 steps step NOUN cana-6325 81 21 . . PUNCT cana-6325 82 1 1 1 X cana-6325 82 2 . . NUM cana-6325 82 3 optimized optimize VERB cana-6325 82 4 matrix matrix NOUN cana-6325 82 5 factorization factorization NOUN cana-6325 82 6 ( ( PUNCT cana-6325 82 7 omf omf PROPN cana-6325 82 8 ) ) PUNCT cana-6325 82 9 : : PUNCT cana-6325 82 10 consider consider VERB cana-6325 82 11 the the DET cana-6325 82 12 multi multi ADJ cana-6325 82 13 - - ADJ cana-6325 82 14 labeled label VERB cana-6325 82 15 data datum NOUN cana-6325 82 16 shown show VERB cana-6325 82 17 i𝐴 i𝐴 NOUN cana-6325 82 18 = = SYM cana-6325 82 19 { { PUNCT cana-6325 82 20 π‘Ž0 π‘Ž0 PROPN cana-6325 82 21 , , PUNCT cana-6325 82 22 π‘Ž1 π‘Ž1 PROPN cana-6325 82 23 , , PUNCT cana-6325 82 24 . . PUNCT cana-6325 82 25 . . PUNCT cana-6325 82 26 . . PUNCT cana-6325 82 27 . . PUNCT cana-6325 82 28 . . PUNCT cana-6325 82 29 . . PUNCT cana-6325 82 30 . . PUNCT cana-6325 82 31 . . PUNCT cana-6325 82 32 . . PUNCT cana-6325 82 33 . . PUNCT cana-6325 83 1 π‘Žπ‘› π‘Žπ‘› PRON cana-6325 83 2 } } PUNCT cana-6325 83 3 ∈ ∈ PROPN cana-6325 83 4 𝑀+ 𝑀+ CCONJ cana-6325 83 5 𝑛π‘₯𝑑 𝑛π‘₯𝑑 NOUN cana-6325 83 6 , , PUNCT cana-6325 83 7 in in ADP cana-6325 83 8 this this DET cana-6325 83 9 context context NOUN cana-6325 83 10 , , PUNCT cana-6325 83 11 n n PRON cana-6325 83 12 is be AUX cana-6325 83 13 the the DET cana-6325 83 14 sample sample NOUN cana-6325 83 15 size size NOUN cana-6325 83 16 and and CCONJ cana-6325 83 17 d d NOUN cana-6325 83 18 is be AUX cana-6325 83 19 the the DET cana-6325 83 20 feature feature NOUN cana-6325 83 21 vector vector NOUN cana-6325 83 22 dimension dimension NOUN cana-6325 83 23 . . PUNCT cana-6325 84 1 communications communication NOUN cana-6325 84 2 on on ADP cana-6325 84 3 applied apply VERB cana-6325 84 4 nonlinear nonlinear ADJ cana-6325 84 5 analysis analysis NOUN cana-6325 84 6 issn issn NOUN cana-6325 84 7 : : PUNCT cana-6325 84 8 1074 1074 NUM cana-6325 84 9 - - PUNCT cana-6325 84 10 133x 133x NUM cana-6325 84 11 vol vol NOUN cana-6325 84 12 32 32 NUM cana-6325 84 13 no no NOUN cana-6325 84 14 . . PUNCT cana-6325 85 1 3s 3s NUM cana-6325 85 2 ( ( PUNCT cana-6325 85 3 2025 2025 NUM cana-6325 85 4 ) ) PUNCT cana-6325 85 5 891 891 NUM cana-6325 85 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 86 1 π‘Žπ‘—(1 π‘Žπ‘—(1 PROPN cana-6325 86 2 ≀ ≀ NOUN cana-6325 86 3 π‘ž π‘ž PROPN cana-6325 86 4 ≀ ≀ ADJ cana-6325 86 5 𝑛 𝑛 NOUN cana-6325 86 6 ) ) PUNCT cana-6325 86 7 this this PRON cana-6325 86 8 results result VERB cana-6325 86 9 in in ADP cana-6325 86 10 consistency consistency NOUN cana-6325 86 11 when when SCONJ cana-6325 86 12 expressed express VERB cana-6325 86 13 with with ADP cana-6325 86 14 sample sample NOUN cana-6325 86 15 n. n. NOUN cana-6325 86 16 one one NUM cana-6325 86 17 specific specific ADJ cana-6325 86 18 application application NOUN cana-6325 86 19 of of ADP cana-6325 86 20 omf omf NOUN cana-6325 86 21 is be AUX cana-6325 86 22 the the DET cana-6325 86 23 identification identification NOUN cana-6325 86 24 of of ADP cana-6325 86 25 reduced reduce VERB cana-6325 86 26 rank rank NOUN cana-6325 86 27 - - PUNCT cana-6325 86 28 based base VERB cana-6325 86 29 matrices matrix NOUN cana-6325 86 30 in in ADP cana-6325 86 31 non non ADJ cana-6325 86 32 - - ADJ cana-6325 86 33 negative negative ADJ cana-6325 86 34 relationships.𝐻 relationships.𝐻 NOUN cana-6325 86 35 = = PUNCT cana-6325 86 36 { { PUNCT cana-6325 86 37 β„Ž1 β„Ž1 PROPN cana-6325 86 38 , , PUNCT cana-6325 86 39 β„Ž2 β„Ž2 NOUN cana-6325 86 40 , , PUNCT cana-6325 86 41 . . PUNCT cana-6325 86 42 . . PUNCT cana-6325 86 43 . . PUNCT cana-6325 86 44 . . PUNCT cana-6325 86 45 . . PUNCT cana-6325 86 46 . . PUNCT cana-6325 86 47 . . PUNCT cana-6325 86 48 . . PUNCT cana-6325 86 49 . . PUNCT cana-6325 86 50 . . PUNCT cana-6325 87 1 β„Žπ‘‘ β„Žπ‘‘ NOUN cana-6325 87 2 } } PUNCT cana-6325 87 3 ∈ ∈ PROPN cana-6325 87 4 𝑄+ 𝑄+ PROPN cana-6325 87 5 𝑑 𝑑 PROPN cana-6325 87 6 & & CCONJ cana-6325 87 7 π‘Š π‘Š PROPN cana-6325 87 8 = = PROPN cana-6325 87 9 { { PUNCT cana-6325 87 10 𝑀1 𝑀1 VERB cana-6325 87 11 , , PUNCT cana-6325 87 12 𝑀2 𝑀2 NOUN cana-6325 87 13 , , PUNCT cana-6325 87 14 . . PUNCT cana-6325 87 15 . . PUNCT cana-6325 87 16 . . PUNCT cana-6325 87 17 . . PUNCT cana-6325 87 18 . . PUNCT cana-6325 87 19 . . PUNCT cana-6325 87 20 . . PUNCT cana-6325 87 21 . . PUNCT cana-6325 88 1 𝑀𝑑 𝑀𝑑 ADP cana-6325 88 2 } } PUNCT cana-6325 88 3 𝑄+ 𝑄+ PROPN cana-6325 88 4 𝑑(𝐾 𝑑(𝐾 NUM cana-6325 88 5 ∝∝ ∝∝ X cana-6325 89 1 𝑛&𝑑 𝑛&𝑑 PROPN cana-6325 89 2 ∝ ∝ PROPN cana-6325 89 3 𝐷 𝐷 PROPN cana-6325 89 4 ) ) PUNCT cana-6325 89 5 that that PRON cana-6325 89 6 are be AUX cana-6325 89 7 represented represent VERB cana-6325 89 8 . . PUNCT cana-6325 90 1 after after ADP cana-6325 90 2 investigating investigate VERB cana-6325 90 3 matrix matrix NOUN cana-6325 90 4 relations relation NOUN cana-6325 90 5 ( ( PUNCT cana-6325 90 6 h&w h&w PROPN cana-6325 90 7 ) ) PUNCT cana-6325 90 8 , , PUNCT cana-6325 90 9 the the DET cana-6325 90 10 next next ADJ cana-6325 90 11 step step NOUN cana-6325 90 12 is be AUX cana-6325 90 13 to to PART cana-6325 90 14 investigate investigate VERB cana-6325 90 15 input input NOUN cana-6325 90 16 data datum NOUN cana-6325 90 17 . . PUNCT cana-6325 91 1 as as ADP cana-6325 91 2 𝐴𝑗 𝐴𝑗 PROPN cana-6325 91 3 = = SYM cana-6325 91 4 βˆ‘π‘‘ βˆ‘π‘‘ PROPN cana-6325 91 5 𝑖=1 𝑖=1 PUNCT cana-6325 91 6 β„Žπ‘– β„Žπ‘– PROPN cana-6325 91 7 , , PUNCT cana-6325 91 8 𝑀𝑖𝑗 𝑀𝑖𝑗 NOUN cana-6325 91 9 it it PRON cana-6325 91 10 is be AUX cana-6325 91 11 defined define VERB cana-6325 91 12 by by ADP cana-6325 91 13 a a DET cana-6325 91 14 mix mix NOUN cana-6325 91 15 of of ADP cana-6325 91 16 linear linear ADJ cana-6325 91 17 matrix matrix NOUN cana-6325 91 18 architecture architecture NOUN cana-6325 91 19 𝑀 𝑀 ADP cana-6325 91 20 = = SYM cana-6325 91 21 { { PUNCT cana-6325 91 22 𝑀1 𝑀1 PROPN cana-6325 91 23 , , PUNCT cana-6325 91 24 𝑀2 𝑀2 NOUN cana-6325 91 25 , , PUNCT cana-6325 91 26 . . PUNCT cana-6325 91 27 . . PUNCT cana-6325 91 28 . . PUNCT cana-6325 91 29 . . PUNCT cana-6325 91 30 . . PUNCT cana-6325 91 31 . . PUNCT cana-6325 91 32 . . PUNCT cana-6325 92 1 . . PUNCT cana-6325 93 1 𝑀𝑑 𝑀𝑑 ADP cana-6325 93 2 } } PUNCT cana-6325 93 3 and and CCONJ cana-6325 93 4 impact impact NOUN cana-6325 93 5 factor factor NOUN cana-6325 93 6 𝑀𝑗 𝑀𝑗 PROPN cana-6325 93 7 so so ADV cana-6325 93 8 described describe VERB cana-6325 93 9 below below ADV cana-6325 93 10 is be AUX cana-6325 93 11 the the DET cana-6325 93 12 desired desire VERB cana-6325 93 13 function function NOUN cana-6325 93 14 of of ADP cana-6325 93 15 negative negative ADJ cana-6325 93 16 matrix matrix NOUN cana-6325 93 17 development development NOUN cana-6325 93 18 as as ADP cana-6325 93 19 eq eq NOUN cana-6325 93 20 ( ( PUNCT cana-6325 93 21 1 1 NUM cana-6325 93 22 ) ) PUNCT cana-6325 93 23 , , PUNCT cana-6325 93 24 π‘šπ‘–π‘›π».π‘Š|𝐴 π‘šπ‘–π‘›π».π‘Š|𝐴 ADP cana-6325 93 25 βˆ’ βˆ’ PROPN cana-6325 93 26 π»π‘Š|𝐹 π»π‘Š|𝐹 ADP cana-6325 93 27 2 2 NUM cana-6325 93 28 𝑀. 𝑀. NOUN cana-6325 93 29 π‘Ÿ. π‘Ÿ. NOUN cana-6325 94 1 𝐼 𝐼 ADP cana-6325 94 2 𝐻 𝐻 PROPN cana-6325 94 3 β‰₯ β‰₯ NOUN cana-6325 94 4 0 0 NUM cana-6325 94 5 , , PUNCT cana-6325 94 6 π‘Š π‘Š PROPN cana-6325 94 7 β‰₯ β‰₯ NOUN cana-6325 94 8 0 0 NUM cana-6325 94 9 … … PUNCT cana-6325 94 10 … … PUNCT cana-6325 94 11 … … PUNCT cana-6325 94 12 … … SYM cana-6325 94 13 …… …… NOUN cana-6325 94 14 . . PUNCT cana-6325 95 1 ( ( PUNCT cana-6325 95 2 1 1 X cana-6325 95 3 ) ) PUNCT cana-6325 95 4 the the DET cana-6325 95 5 karush karush PROPN cana-6325 95 6 - - PUNCT cana-6325 95 7 kuhn kuhn PROPN cana-6325 95 8 - - PUNCT cana-6325 95 9 tucker tucker PROPN cana-6325 95 10 ( ( PUNCT cana-6325 95 11 kkt kkt PROPN cana-6325 95 12 ) ) PUNCT cana-6325 95 13 ruling rule VERB cana-6325 95 14 requirement requirement NOUN cana-6325 95 15 with with ADP cana-6325 95 16 correlated correlate VERB cana-6325 95 17 parameters parameter NOUN cana-6325 95 18 and and CCONJ cana-6325 95 19 the the DET cana-6325 95 20 w&h w&h PROPN cana-6325 95 21 variables variable NOUN cana-6325 95 22 are be AUX cana-6325 95 23 illustrated illustrate VERB cana-6325 95 24 in in ADP cana-6325 95 25 eqn eqn NOUN cana-6325 95 26 . . PUNCT cana-6325 96 1 ( ( PUNCT cana-6325 96 2 2 2 NUM cana-6325 96 3 ) ) PUNCT cana-6325 96 4 . . PUNCT cana-6325 97 1 π‘Šπ‘–π‘— π‘Šπ‘–π‘— PROPN cana-6325 97 2 = = SYM cana-6325 97 3 π‘Šπ‘–π‘— π‘Šπ‘–π‘— PROPN cana-6325 97 4 ( ( PUNCT cana-6325 97 5 𝐻𝑇 𝐻𝑇 PROPN cana-6325 97 6 𝐴 𝐴 PROPN cana-6325 97 7 ) ) PUNCT cana-6325 97 8 𝑖𝑗 𝑖𝑗 PROPN cana-6325 97 9 ( ( PUNCT cana-6325 97 10 π‘Šπ‘‡ π‘Šπ‘‡ PROPN cana-6325 97 11 π»π‘Š)𝑖𝑗 π»π‘Š)𝑖𝑗 PROPN cana-6325 97 12 … … PUNCT cana-6325 97 13 … … PUNCT cana-6325 97 14 … … PUNCT cana-6325 97 15 … … PUNCT cana-6325 97 16 … … PUNCT cana-6325 97 17 … … PUNCT cana-6325 97 18 … … PUNCT cana-6325 97 19 … … PUNCT cana-6325 97 20 … … PUNCT cana-6325 97 21 … … PUNCT cana-6325 97 22 … … PUNCT cana-6325 97 23 … … PUNCT cana-6325 97 24 ( ( PUNCT cana-6325 97 25 2 2 X cana-6325 97 26 ) ) PUNCT cana-6325 97 27 deep deep ADJ cana-6325 97 28 learning learning NOUN cana-6325 97 29 factorisation factorisation NOUN cana-6325 97 30 , , PUNCT cana-6325 97 31 as as SCONJ cana-6325 97 32 shown show VERB cana-6325 97 33 in in ADP cana-6325 97 34 eqn eqn NOUN cana-6325 97 35 . . PUNCT cana-6325 98 1 ( ( PUNCT cana-6325 98 2 3 3 NUM cana-6325 98 3 ) ) PUNCT cana-6325 98 4 , , PUNCT cana-6325 98 5 π‘Šπ‘š π‘Šπ‘š PROPN cana-6325 98 6 ≃ ≃ NOUN cana-6325 98 7 𝐻1 𝐻1 VERB cana-6325 98 8 π‘š π‘š ADP cana-6325 98 9 𝐻2 𝐻2 NOUN cana-6325 98 10 π‘šπ»1 π‘šπ»1 PROPN cana-6325 98 11 π‘š π‘š ADP cana-6325 98 12 ≃ ≃ NOUN cana-6325 98 13 𝐻2 𝐻2 NOUN cana-6325 98 14 π‘šπ‘Š2 π‘šπ‘Š2 X cana-6325 98 15 π‘š π‘š X cana-6325 98 16 . . PUNCT cana-6325 98 17 . . PUNCT cana-6325 98 18 . . PUNCT cana-6325 98 19 . . PUNCT cana-6325 98 20 . . PUNCT cana-6325 98 21 . . PUNCT cana-6325 98 22 . . PUNCT cana-6325 98 23 . . PUNCT cana-6325 98 24 . . PUNCT cana-6325 99 1 . . PUNCT cana-6325 100 1 𝐻1βˆ’2 𝐻1βˆ’2 PRON cana-6325 100 2 π‘š π‘š ADP cana-6325 100 3 ≃ ≃ ADJ cana-6325 100 4 π»πΌβˆ’1 π»πΌβˆ’1 PROPN cana-6325 100 5 π‘š π‘š PROPN cana-6325 100 6 π»πΌβˆ’1 π»πΌβˆ’1 PROPN cana-6325 100 7 π‘š π‘š ADP cana-6325 100 8 π»πΌβˆ’1 π»πΌβˆ’1 PROPN cana-6325 100 9 π‘š π‘š PROPN cana-6325 100 10 ≃ ≃ PROPN cana-6325 100 11 𝐻1 𝐻1 PROPN cana-6325 100 12 π‘š π‘š PROPN cana-6325 100 13 π‘Š1 π‘Š1 PROPN cana-6325 100 14 π‘š π‘š PROPN cana-6325 100 15 … … PUNCT cana-6325 100 16 … … PUNCT cana-6325 100 17 … … PUNCT cana-6325 100 18 …… …… NOUN cana-6325 100 19 …… …… NOUN cana-6325 100 20 .. .. PUNCT cana-6325 100 21 ( ( PUNCT cana-6325 100 22 3 3 X cana-6325 100 23 ) ) PUNCT cana-6325 100 24 𝐻1 𝐻1 NOUN cana-6325 100 25 π‘šπ»2 π‘šπ»2 NOUN cana-6325 100 26 π‘š π‘š NOUN cana-6325 100 27 , , PUNCT cana-6325 100 28 . . PUNCT cana-6325 100 29 . . PUNCT cana-6325 100 30 . . PUNCT cana-6325 100 31 . . PUNCT cana-6325 100 32 . . PUNCT cana-6325 100 33 . . PUNCT cana-6325 101 1 . . PUNCT cana-6325 102 1 𝐻1βˆ’1 𝐻1βˆ’1 VERB cana-6325 102 2 π‘š π‘š ADP cana-6325 102 3 𝐻1 𝐻1 PROPN cana-6325 102 4 π‘š π‘š PROPN cana-6325 102 5 & & CCONJ cana-6325 102 6 π‘Š1 π‘Š1 PROPN cana-6325 102 7 π‘š,π‘Š2 π‘š,π‘Š2 PUNCT cana-6325 102 8 π‘š π‘š PROPN cana-6325 102 9 … … X cana-6325 102 10 π‘Š1βˆ’1 π‘Š1βˆ’1 NUM cana-6325 102 11 π‘š π‘š ADP cana-6325 102 12 π‘Š1 π‘Š1 PROPN cana-6325 102 13 π‘šcharacterized π‘šcharacterize VERB cana-6325 102 14 by by ADP cana-6325 102 15 matrices matrix NOUN cana-6325 102 16 and and CCONJ cana-6325 102 17 coefficients coefficient NOUN cana-6325 102 18 in in ADP cana-6325 102 19 mdimensional mdimensional ADJ cana-6325 102 20 basis basis NOUN cana-6325 102 21 . . PUNCT cana-6325 103 1 a a DET cana-6325 103 2 combination combination NOUN cana-6325 103 3 of of ADP cana-6325 103 4 the the DET cana-6325 103 5 following following ADJ cana-6325 103 6 variables variable NOUN cana-6325 103 7 is be AUX cana-6325 103 8 denoted denote VERB cana-6325 103 9 as as ADP cana-6325 103 10 equation equation NOUN cana-6325 103 11 ( ( PUNCT cana-6325 103 12 4 4 NUM cana-6325 103 13 ) ) PUNCT cana-6325 103 14 . . PUNCT cana-6325 104 1 π‘šπ‘–π‘›π‘€π‘– π‘šπ‘–π‘›π‘€π‘– PROPN cana-6325 104 2 π‘š.𝐻𝑖 π‘š.𝐻𝑖 ADP cana-6325 104 3 π‘š π‘š PROPN cana-6325 104 4 βˆ‘π‘š βˆ‘π‘š SYM cana-6325 104 5 π‘šβˆ’1 π‘šβˆ’1 PROPN cana-6325 104 6 |π΄π‘š |π΄π‘š PROPN cana-6325 104 7 βˆ’ βˆ’ PUNCT cana-6325 104 8 𝐻𝑙 𝐻𝑙 PROPN cana-6325 104 9 π‘šπ‘€π‘™ π‘šπ‘€π‘™ ADJ cana-6325 104 10 π‘šπ‘€1βˆ’π‘™ π‘šπ‘€1βˆ’π‘™ NOUN cana-6325 104 11 π‘š π‘š X cana-6325 104 12 . . PUNCT cana-6325 104 13 . . PUNCT cana-6325 104 14 . . PUNCT cana-6325 104 15 . . PUNCT cana-6325 104 16 . . PUNCT cana-6325 104 17 . . PUNCT cana-6325 104 18 . . PUNCT cana-6325 104 19 . . PUNCT cana-6325 104 20 . . PUNCT cana-6325 105 1 π‘Š2 π‘Š2 VERB cana-6325 105 2 π‘š π‘š ADP cana-6325 105 3 π‘Šπ‘™ π‘Šπ‘™ PROPN cana-6325 105 4 π‘š π‘š PROPN cana-6325 105 5 . . PUNCT cana-6325 106 1 |𝐹 |𝐹 ADP cana-6325 106 2 2 2 NUM cana-6325 106 3 𝑀. 𝑀. NOUN cana-6325 106 4 π‘Ÿ. π‘Ÿ. NOUN cana-6325 107 1 𝐼 𝐼 ADP cana-6325 107 2 𝐻𝑙 𝐻𝑙 PROPN cana-6325 107 3 π‘š π‘š ADP cana-6325 107 4 β‰₯ β‰₯ NUM cana-6325 107 5 0 0 NUM cana-6325 107 6 , , PUNCT cana-6325 107 7 π‘Šπ‘™ π‘Šπ‘™ ADP cana-6325 107 8 π‘š π‘š PRON cana-6325 107 9 β‰₯ β‰₯ NUM cana-6325 107 10 0 0 NUM cana-6325 107 11 … … PUNCT cana-6325 107 12 …… …… NOUN cana-6325 107 13 …… …… NOUN cana-6325 107 14 .. .. PUNCT cana-6325 107 15 ( ( PUNCT cana-6325 107 16 4 4 X cana-6325 107 17 ) ) PUNCT cana-6325 107 18 equation equation NOUN cana-6325 107 19 ( ( PUNCT cana-6325 107 20 5 5 X cana-6325 107 21 ) ) PUNCT cana-6325 107 22 describes describe VERB cana-6325 107 23 the the DET cana-6325 107 24 objective objective ADJ cana-6325 107 25 functionality functionality NOUN cana-6325 107 26 using use VERB cana-6325 107 27 several several ADJ cana-6325 107 28 variables variable NOUN cana-6325 107 29 . . PUNCT cana-6325 108 1 π‘šπ‘–π‘›π»π‘™ π‘šπ‘–π‘›π»π‘™ NUM cana-6325 108 2 π‘šπ‘Šπ‘™ π‘šπ‘Šπ‘™ X cana-6325 108 3 π‘š π‘š PROPN cana-6325 108 4 |π΄π‘š |π΄π‘š PROPN cana-6325 108 5 βˆ’ βˆ’ PROPN cana-6325 108 6 𝐻𝑙 𝐻𝑙 PROPN cana-6325 108 7 π‘šπ‘€π‘™ π‘šπ‘€π‘™ ADJ cana-6325 108 8 π‘šπ‘€1βˆ’π‘™ π‘šπ‘€1βˆ’π‘™ NOUN cana-6325 108 9 π‘š π‘š X cana-6325 108 10 . . PUNCT cana-6325 108 11 . . PUNCT cana-6325 108 12 . . PUNCT cana-6325 108 13 . . PUNCT cana-6325 108 14 . . PUNCT cana-6325 108 15 . . PUNCT cana-6325 108 16 . . PUNCT cana-6325 108 17 . . PUNCT cana-6325 108 18 . . PUNCT cana-6325 109 1 π‘Š2 π‘Š2 VERB cana-6325 109 2 π‘š π‘š ADP cana-6325 109 3 π‘Šπ‘™ π‘Šπ‘™ PROPN cana-6325 109 4 π‘š π‘š PROPN cana-6325 109 5 . . PUNCT cana-6325 110 1 |𝐹 |𝐹 ADP cana-6325 110 2 2 2 NUM cana-6325 110 3 𝑀. 𝑀. NOUN cana-6325 110 4 π‘Ÿ. π‘Ÿ. NOUN cana-6325 111 1 𝐼 𝐼 ADP cana-6325 111 2 𝐻𝑙 𝐻𝑙 PROPN cana-6325 111 3 π‘š π‘š ADP cana-6325 111 4 β‰₯ β‰₯ NUM cana-6325 111 5 0 0 NUM cana-6325 111 6 , , PUNCT cana-6325 111 7 π‘Šπ‘™ π‘Šπ‘™ ADP cana-6325 111 8 π‘š π‘š PRON cana-6325 111 9 β‰₯ β‰₯ NUM cana-6325 111 10 0 0 NUM cana-6325 111 11 … … PUNCT cana-6325 111 12 …… …… NOUN cana-6325 111 13 …… …… NOUN cana-6325 111 14 …… …… NOUN cana-6325 111 15 …… …… NOUN cana-6325 111 16 .. .. PUNCT cana-6325 111 17 ( ( PUNCT cana-6325 111 18 5 5 X cana-6325 111 19 ) ) PUNCT cana-6325 111 20 3.1deep 3.1deep NUM cana-6325 111 21 matrix matrix NOUN cana-6325 111 22 indices index NOUN cana-6325 111 23 factorized factorize VERB cana-6325 111 24 in in ADP cana-6325 111 25 depth depth NOUN cana-6325 111 26 " " PUNCT cana-6325 111 27 deep deep ADJ cana-6325 111 28 matrix matrix NOUN cana-6325 111 29 index index NOUN cana-6325 111 30 factorization factorization NOUN cana-6325 111 31 with with ADP cana-6325 111 32 significant significant ADJ cana-6325 111 33 depth depth NOUN cana-6325 111 34 . . PUNCT cana-6325 112 1 the the DET cana-6325 112 2 goal goal NOUN cana-6325 112 3 is be AUX cana-6325 112 4 to to PART cana-6325 112 5 eliminate eliminate VERB cana-6325 112 6 irrelevant irrelevant ADJ cana-6325 112 7 data datum NOUN cana-6325 112 8 from from ADP cana-6325 112 9 matrix matrix NOUN cana-6325 112 10 a a NOUN cana-6325 112 11 by by ADP cana-6325 112 12 using use VERB cana-6325 112 13 associative associative ADJ cana-6325 112 14 flexibility flexibility NOUN cana-6325 112 15 when when SCONJ cana-6325 112 16 describing describe VERB cana-6325 112 17 or or CCONJ cana-6325 112 18 investigating investigate VERB cana-6325 112 19 the the DET cana-6325 112 20 structure structure NOUN cana-6325 112 21 of of ADP cana-6325 112 22 complex complex ADJ cana-6325 112 23 processes process NOUN cana-6325 112 24 . . PUNCT cana-6325 113 1 the the DET cana-6325 113 2 equation equation NOUN cana-6325 113 3 shows show VERB cana-6325 113 4 that that SCONJ cana-6325 113 5 optimal optimal ADJ cana-6325 113 6 matrix matrix NOUN cana-6325 113 7 functionality functionality NOUN cana-6325 113 8 can can AUX cana-6325 113 9 be be AUX cana-6325 113 10 learned learn VERB cana-6325 113 11 through through ADP cana-6325 113 12 deep deep ADJ cana-6325 113 13 learning learning NOUN cana-6325 113 14 . . PUNCT cana-6325 113 15 " " PUNCT cana-6325 114 1 𝐴 𝐴 PROPN cana-6325 114 2 ≃ ≃ AUX cana-6325 114 3 𝑍1π‘Š1𝐴 𝑍1π‘Š1𝐴 PRON cana-6325 114 4 ≃ ≃ VERB cana-6325 114 5 𝑍1𝑍2π‘Š 𝑍1𝑍2π‘Š ADP cana-6325 114 6 2 2 NUM cana-6325 114 7 . . PUNCT cana-6325 114 8 . . PUNCT cana-6325 114 9 . . PUNCT cana-6325 115 1 𝐴 𝐴 PROPN cana-6325 115 2 ≃ ≃ VERB cana-6325 115 3 𝑍1𝑍2π‘Š 𝑍1𝑍2π‘Š ADP cana-6325 115 4 2 2 NUM cana-6325 115 5 . . PUNCT cana-6325 115 6 . . PUNCT cana-6325 115 7 . . PUNCT cana-6325 116 1 π‘π‘šπ‘Š π‘π‘šπ‘Š VERB cana-6325 116 2 π‘š π‘š ADP cana-6325 116 3 … … PUNCT cana-6325 116 4 … … PUNCT cana-6325 116 5 … … PUNCT cana-6325 116 6 … … PUNCT cana-6325 116 7 … … PUNCT cana-6325 116 8 ( ( PUNCT cana-6325 116 9 7 7 X cana-6325 116 10 ) ) PUNCT cana-6325 116 11 𝑍𝑖 𝑍𝑖 PROPN cana-6325 116 12 ∈ ∈ NOUN cana-6325 116 13 π‘„πΎπ‘‘βˆ’1βˆ—π‘˜π‘‘ π‘„πΎπ‘‘βˆ’1βˆ—π‘˜π‘‘ PROPN cana-6325 116 14 be be AUX cana-6325 116 15 the the DET cana-6325 116 16 𝑙 𝑙 DET cana-6325 116 17 βˆ’ βˆ’ PROPN cana-6325 116 18 π‘‘β„Ž(π‘™βˆ’β‰€ π‘‘β„Ž(π‘™βˆ’β‰€ NUM cana-6325 116 19 π‘š π‘š NOUN cana-6325 116 20 ) ) PUNCT cana-6325 116 21 matrix matrix NOUN cana-6325 116 22 relates relate VERB cana-6325 116 23 to to PART cana-6325 116 24 basis basis VERB cana-6325 116 25 π‘Šπ‘™ π‘Šπ‘™ PROPN cana-6325 116 26 ∈ ∈ PROPN cana-6325 116 27 π‘…πΎπ‘–βˆ—π‘› π‘…πΎπ‘–βˆ—π‘› NOUN cana-6325 116 28 is be AUX cana-6325 116 29 the the DET cana-6325 116 30 representation representation NOUN cana-6325 116 31 of of ADP cana-6325 116 32 the the DET cana-6325 116 33 matrix matrix NOUN cana-6325 116 34 at at ADP cana-6325 116 35 the the DET cana-6325 116 36 lth lth NOUN cana-6325 116 37 layer layer NOUN cana-6325 116 38 involves involve VERB cana-6325 116 39 using use VERB cana-6325 116 40 m m ADJ cana-6325 116 41 - - ADJ cana-6325 116 42 dimensional dimensional ADJ cana-6325 116 43 layers layer NOUN cana-6325 116 44 in in ADP cana-6325 116 45 matrix matrix NOUN cana-6325 116 46 factorization factorization NOUN cana-6325 116 47 . . PUNCT cana-6325 117 1 this this PRON cana-6325 117 2 can can AUX cana-6325 117 3 be be AUX cana-6325 117 4 done do VERB cana-6325 117 5 in in ADP cana-6325 117 6 a a DET cana-6325 117 7 grouped group VERB cana-6325 117 8 or or CCONJ cana-6325 117 9 individually individually ADV cana-6325 117 10 recognized recognize VERB cana-6325 117 11 form form NOUN cana-6325 117 12 . . PUNCT cana-6325 118 1 this this DET cana-6325 118 2 approach approach NOUN cana-6325 118 3 allows allow VERB cana-6325 118 4 for for ADP cana-6325 118 5 using use VERB cana-6325 118 6 the the DET cana-6325 118 7 same same ADJ cana-6325 118 8 grouping grouping NOUN cana-6325 118 9 processes process NOUN cana-6325 118 10 on on ADP cana-6325 118 11 different different ADJ cana-6325 118 12 datasets dataset NOUN cana-6325 118 13 to to PART cana-6325 118 14 capture capture VERB cana-6325 118 15 various various ADJ cana-6325 118 16 perspectives perspective NOUN cana-6325 118 17 on on ADP cana-6325 118 18 multi multi ADJ cana-6325 118 19 - - ADJ cana-6325 118 20 labeled labeled ADJ cana-6325 118 21 data.for data.for ADP cana-6325 118 22 multi multi ADJ cana-6325 118 23 - - ADJ cana-6325 118 24 labeled labeled ADJ cana-6325 118 25 clustering clustering NOUN cana-6325 118 26 with with ADP cana-6325 118 27 different different ADJ cana-6325 118 28 attribute attribute NOUN cana-6325 118 29 relations relation NOUN cana-6325 118 30 , , PUNCT cana-6325 118 31 the the DET cana-6325 118 32 deep deep ADJ cana-6325 118 33 matrix matrix NOUN cana-6325 118 34 factorisation factorisation NOUN cana-6325 118 35 approach approach NOUN cana-6325 118 36 can can AUX cana-6325 118 37 be be AUX cana-6325 118 38 utilised utilise VERB cana-6325 118 39 . . PUNCT cana-6325 119 1 in in ADP cana-6325 119 2 view view NOUN cana-6325 119 3 of of ADP cana-6325 119 4 these these DET cana-6325 119 5 communications communication NOUN cana-6325 119 6 on on ADP cana-6325 119 7 applied apply VERB cana-6325 119 8 nonlinear nonlinear ADJ cana-6325 119 9 analysis analysis NOUN cana-6325 119 10 issn issn NOUN cana-6325 119 11 : : PUNCT cana-6325 119 12 1074 1074 NUM cana-6325 119 13 - - PUNCT cana-6325 119 14 133x 133x NUM cana-6325 119 15 vol vol NOUN cana-6325 119 16 32 32 NUM cana-6325 119 17 no no NOUN cana-6325 119 18 . . PUNCT cana-6325 120 1 3s 3s NUM cana-6325 120 2 ( ( PUNCT cana-6325 120 3 2025 2025 NUM cana-6325 120 4 ) ) PUNCT cana-6325 120 5 892 892 NUM cana-6325 120 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 120 7 preliminary preliminary ADJ cana-6325 120 8 findings finding NOUN cana-6325 120 9 , , PUNCT cana-6325 120 10 we we PRON cana-6325 120 11 present present VERB cana-6325 120 12 a a DET cana-6325 120 13 novel novel ADJ cana-6325 120 14 heuristic heuristic ADJ cana-6325 120 15 method method NOUN cana-6325 120 16 for for ADP cana-6325 120 17 studying study VERB cana-6325 120 18 multi multi ADJ cana-6325 120 19 - - ADJ cana-6325 120 20 labeled label VERB cana-6325 120 21 data datum NOUN cana-6325 120 22 clustering cluster VERB cana-6325 120 23 using use VERB cana-6325 120 24 augmented augment VERB cana-6325 120 25 matrix matrix NOUN cana-6325 120 26 construction construction NOUN cana-6325 120 27 . . PUNCT cana-6325 121 1 4.implementation 4.implementation NOUN cana-6325 121 2 of of ADP cana-6325 121 3 proposed propose VERB cana-6325 121 4 framework framework NOUN cana-6325 121 5 this this DET cana-6325 121 6 section section NOUN cana-6325 121 7 discusses discuss VERB cana-6325 121 8 the the DET cana-6325 121 9 orthogonal orthogonal ADJ cana-6325 121 10 and and CCONJ cana-6325 121 11 combined combine VERB cana-6325 121 12 framework framework NOUN cana-6325 121 13 with with ADP cana-6325 121 14 co co ADJ cana-6325 121 15 - - NOUN cana-6325 121 16 regularization regularization NOUN cana-6325 121 17 requirements requirement NOUN cana-6325 121 18 , , PUNCT cana-6325 121 19 and and CCONJ cana-6325 121 20 introduces introduce VERB cana-6325 121 21 a a DET cana-6325 121 22 suggested suggest VERB cana-6325 121 23 method method NOUN cana-6325 121 24 using use VERB cana-6325 121 25 an an DET cana-6325 121 26 unsupervised unsupervised ADJ cana-6325 121 27 learning learning NOUN cana-6325 121 28 clustering clustering NOUN cana-6325 121 29 technique technique NOUN cana-6325 121 30 called call VERB cana-6325 121 31 ocmhamvc ocmhamvc NOUN cana-6325 121 32 . . PUNCT cana-6325 122 1 initially initially ADV cana-6325 122 2 , , PUNCT cana-6325 122 3 the the DET cana-6325 122 4 objective objective ADJ cana-6325 122 5 functions function NOUN cana-6325 122 6 propose propose VERB cana-6325 122 7 an an DET cana-6325 122 8 optimal optimal ADJ cana-6325 122 9 method method NOUN cana-6325 122 10 for for ADP cana-6325 122 11 clustering cluster VERB cana-6325 122 12 multi multi ADJ cana-6325 122 13 - - ADJ cana-6325 122 14 labeled label VERB cana-6325 122 15 data datum NOUN cana-6325 122 16 , , PUNCT cana-6325 122 17 and and CCONJ cana-6325 122 18 then then ADV cana-6325 122 19 examine examine VERB cana-6325 122 20 the the DET cana-6325 122 21 computational computational ADJ cana-6325 122 22 analysis analysis NOUN cana-6325 122 23 of of ADP cana-6325 122 24 the the DET cana-6325 122 25 proposed propose VERB cana-6325 122 26 approach approach NOUN cana-6325 122 27 , , PUNCT cana-6325 122 28 taking take VERB cana-6325 122 29 into into ADP cana-6325 122 30 account account NOUN cana-6325 122 31 efficiency efficiency NOUN cana-6325 122 32 . . PUNCT cana-6325 123 1 multi multi ADJ cana-6325 123 2 objective objective ADJ cana-6325 123 3 functions function NOUN cana-6325 123 4 of of ADP cana-6325 123 5 amvcocmh amvcocmh NOUN cana-6325 123 6 the the DET cana-6325 123 7 optimal optimal ADJ cana-6325 123 8 control control NOUN cana-6325 123 9 method method NOUN cana-6325 123 10 for for ADP cana-6325 123 11 hybrid hybrid ADJ cana-6325 123 12 automata automata NOUN cana-6325 123 13 with with ADP cana-6325 123 14 multiple multiple ADJ cana-6325 123 15 variables variable NOUN cana-6325 123 16 ( ( PUNCT cana-6325 123 17 ocmhamvc ocmhamvc NOUN cana-6325 123 18 ) ) PUNCT cana-6325 123 19 is be AUX cana-6325 123 20 a a DET cana-6325 123 21 mathematical mathematical ADJ cana-6325 123 22 optimization optimization NOUN cana-6325 123 23 technique technique NOUN cana-6325 123 24 designed design VERB cana-6325 123 25 to to PART cana-6325 123 26 solve solve VERB cana-6325 123 27 control control NOUN cana-6325 123 28 problems problem NOUN cana-6325 123 29 for for ADP cana-6325 123 30 hybrid hybrid NOUN cana-6325 123 31 systems system NOUN cana-6325 123 32 . . PUNCT cana-6325 124 1 hybrid hybrid ADJ cana-6325 124 2 systems system NOUN cana-6325 124 3 are be AUX cana-6325 124 4 systems system NOUN cana-6325 124 5 that that PRON cana-6325 124 6 exhibit exhibit VERB cana-6325 124 7 both both CCONJ cana-6325 124 8 continuous continuous ADJ cana-6325 124 9 and and CCONJ cana-6325 124 10 discrete discrete ADJ cana-6325 124 11 dynamics dynamic NOUN cana-6325 124 12 , , PUNCT cana-6325 124 13 such such ADJ cana-6325 124 14 as as ADP cana-6325 124 15 those those PRON cana-6325 124 16 found find VERB cana-6325 124 17 in in ADP cana-6325 124 18 robotics robotic NOUN cana-6325 124 19 , , PUNCT cana-6325 124 20 autonomous autonomous ADJ cana-6325 124 21 vehicles vehicle NOUN cana-6325 124 22 , , PUNCT cana-6325 124 23 and and CCONJ cana-6325 124 24 power power NOUN cana-6325 124 25 systems.equation systems.equation PROPN cana-6325 124 26 ( ( PUNCT cana-6325 124 27 7 7 NUM cana-6325 124 28 ) ) PUNCT cana-6325 124 29 represents represent VERB cana-6325 124 30 labelled label VERB cana-6325 124 31 constraints constraint NOUN cana-6325 124 32 in in ADP cana-6325 124 33 multi multi ADJ cana-6325 124 34 perspectives perspective NOUN cana-6325 124 35 ; ; PUNCT cana-6325 124 36 for for ADP cana-6325 124 37 instance instance NOUN cana-6325 124 38 1 1 NUM cana-6325 124 39 samples sample NOUN cana-6325 124 40 make make VERB cana-6325 124 41 up up ADP cana-6325 124 42 labelled label VERB cana-6325 124 43 data datum NOUN cana-6325 124 44 and and CCONJ cana-6325 124 45 l-1 l-1 NOUN cana-6325 124 46 samples sample NOUN cana-6325 124 47 make make VERB cana-6325 124 48 up up ADP cana-6325 124 49 unlabelled unlabelled ADJ cana-6325 124 50 data datum NOUN cana-6325 124 51 depending depend VERB cana-6325 124 52 on on ADP cana-6325 124 53 attribute attribute NOUN cana-6325 124 54 data datum NOUN cana-6325 124 55 . . PUNCT cana-6325 124 56 x= x= PUNCT cana-6325 125 1 [ [ X cana-6325 125 2 πΆπ‘βˆ—π‘™ πΆπ‘βˆ—π‘™ PROPN cana-6325 125 3 0 0 NUM cana-6325 125 4 0 0 NUM cana-6325 125 5 πΌπ‘›βˆ’1 πΌπ‘›βˆ’1 NOUN cana-6325 125 6 ] ] X cana-6325 125 7 … … PUNCT cana-6325 125 8 … … PUNCT cana-6325 125 9 … … PUNCT cana-6325 125 10 … … PUNCT cana-6325 125 11 … … PUNCT cana-6325 125 12 … … PUNCT cana-6325 125 13 … … PUNCT cana-6325 125 14 … … PUNCT cana-6325 125 15 … … PUNCT cana-6325 125 16 ( ( PUNCT cana-6325 125 17 7 7 X cana-6325 125 18 ) ) PUNCT cana-6325 125 19 𝐢𝑖𝑗 𝐢𝑖𝑗 PROPN cana-6325 125 20 be be AUX cana-6325 125 21 the the DET cana-6325 125 22 attribute attribute NOUN cana-6325 125 23 data datum NOUN cana-6325 125 24 with with ADP cana-6325 125 25 ith ith PROPN cana-6325 125 26 and and CCONJ cana-6325 125 27 jth jth PROPN cana-6325 125 28 classes class NOUN cana-6325 125 29 𝐢𝑖𝑗 𝐢𝑖𝑗 PROPN cana-6325 126 1 = = SYM cana-6325 126 2 0 0 NUM cana-6325 127 1 it it PRON cana-6325 127 2 labelled label VERB cana-6325 127 3 information information NOUN cana-6325 127 4 with with ADP cana-6325 127 5 l l NOUN cana-6325 127 6 samples sample NOUN cana-6325 127 7 πΌπ‘›βˆ’1 πΌπ‘›βˆ’1 NOUN cana-6325 127 8 defines define NOUN cana-6325 127 9 ( ( PUNCT cana-6325 127 10 𝑛 𝑛 PRON cana-6325 127 11 βˆ’ βˆ’ PROPN cana-6325 127 12 1 1 NUM cana-6325 127 13 ) ) PUNCT cana-6325 127 14 ( ( PUNCT cana-6325 127 15 𝑛 𝑛 PRON cana-6325 127 16 βˆ’ βˆ’ PROPN cana-6325 127 17 𝑙 𝑙 NOUN cana-6325 127 18 ) ) PUNCT cana-6325 127 19 an an DET cana-6325 127 20 unlabelled unlabelled ADJ cana-6325 127 21 sample sample NOUN cana-6325 127 22 is be AUX cana-6325 127 23 defined define VERB cana-6325 127 24 as as ADP cana-6325 127 25 one one NUM cana-6325 127 26 that that PRON cana-6325 127 27 is be AUX cana-6325 127 28 associated associate VERB cana-6325 127 29 with with ADP cana-6325 127 30 the the DET cana-6325 127 31 creation creation NOUN cana-6325 127 32 of of ADP cana-6325 127 33 an an DET cana-6325 127 34 identity identity NOUN cana-6325 127 35 matrix matrix NOUN cana-6325 127 36 . . PUNCT cana-6325 128 1 using use VERB cana-6325 128 2 the the DET cana-6325 128 3 investigate investigate NOUN cana-6325 128 4 the the DET cana-6325 128 5 labelled label VERB cana-6325 128 6 constraint constraint NOUN cana-6325 128 7 data datum NOUN cana-6325 128 8 from from ADP cana-6325 128 9 the the DET cana-6325 128 10 unknown unknown ADJ cana-6325 128 11 labelled label VERB cana-6325 128 12 data datum NOUN cana-6325 128 13 if if SCONJ cana-6325 128 14 the the DET cana-6325 128 15 samples sample NOUN cana-6325 128 16 of of ADP cana-6325 128 17 unlabelled unlabelled ADJ cana-6325 128 18 data datum NOUN cana-6325 128 19 are be AUX cana-6325 128 20 more more ADJ cana-6325 128 21 than than ADP cana-6325 128 22 the the DET cana-6325 128 23 threshold threshold NOUN cana-6325 128 24 cluster cluster NOUN cana-6325 128 25 data datum NOUN cana-6325 128 26 . . PUNCT cana-6325 129 1 eqn eqn PROPN cana-6325 129 2 . . PUNCT cana-6325 130 1 ( ( PUNCT cana-6325 130 2 8) 8) NUM cana-6325 130 3 describes describe VERB cana-6325 130 4 the the DET cana-6325 130 5 development development NOUN cana-6325 130 6 of of ADP cana-6325 130 7 clusters cluster NOUN cana-6325 130 8 using use VERB cana-6325 130 9 labelled label VERB cana-6325 130 10 matrix matrix NOUN cana-6325 130 11 data datum NOUN cana-6325 130 12 . . PUNCT cana-6325 131 1 𝑋 𝑋 NOUN cana-6325 131 2 = = PUNCT cana-6325 132 1 [ [ X cana-6325 132 2 πΆπ‘βˆ—π‘™ πΆπ‘βˆ—π‘™ PROPN cana-6325 132 3 0 0 NUM cana-6325 132 4 0 0 NUM cana-6325 132 5 0 0 NUM cana-6325 132 6 1 1 NUM cana-6325 132 7 0 0 NUM cana-6325 132 8 0 0 NUM cana-6325 132 9 0 0 NUM cana-6325 132 10 πΌπ‘›βˆ’π‘™βˆ’1 πΌπ‘›βˆ’π‘™βˆ’1 X cana-6325 132 11 ] ] PUNCT cana-6325 133 1 = = PUNCT cana-6325 133 2 [ [ X cana-6325 133 3 πΆπ‘βˆ—π‘™ πΆπ‘βˆ—π‘™ PROPN cana-6325 133 4 0 0 NUM cana-6325 133 5 0 0 NUM cana-6325 133 6 πΌπ‘›βˆ’1 πΌπ‘›βˆ’1 NOUN cana-6325 133 7 ] ] X cana-6325 133 8 … … PUNCT cana-6325 133 9 … … PUNCT cana-6325 133 10 … … SYM cana-6325 133 11 … … PUNCT cana-6325 133 12 … … PUNCT cana-6325 133 13 …… …… NOUN cana-6325 133 14 …… …… NOUN cana-6325 133 15 …… …… NOUN cana-6325 133 16 .. .. PUNCT cana-6325 133 17 ( ( PUNCT cana-6325 133 18 8) 8) NUM cana-6325 133 19 with with ADP cana-6325 133 20 respect respect NOUN cana-6325 133 21 to to ADP cana-6325 133 22 the the DET cana-6325 133 23 auxiliary auxiliary ADJ cana-6325 133 24 matrix matrix NOUN cana-6325 133 25 z z PROPN cana-6325 133 26 , , PUNCT cana-6325 133 27 the the DET cana-6325 133 28 following follow VERB cana-6325 133 29 are be AUX cana-6325 133 30 the the DET cana-6325 133 31 various various ADJ cana-6325 133 32 goal goal NOUN cana-6325 133 33 functions function NOUN cana-6325 133 34 for for ADP cana-6325 133 35 orthogonal orthogonal ADJ cana-6325 133 36 matrix matrix NOUN cana-6325 133 37 formation formation NOUN cana-6325 133 38 investigate investigate VERB cana-6325 133 39 dimension dimension NOUN cana-6325 133 40 - - PUNCT cana-6325 133 41 free free ADJ cana-6325 133 42 feature feature NOUN cana-6325 133 43 representations representation NOUN cana-6325 133 44 for for ADP cana-6325 133 45 run run NOUN cana-6325 133 46 - - PUNCT cana-6325 133 47 time time NOUN cana-6325 133 48 sample sample NOUN cana-6325 133 49 data datum NOUN cana-6325 133 50 with with ADP cana-6325 133 51 this this DET cana-6325 133 52 multi multi ADJ cana-6325 133 53 - - ADJ cana-6325 133 54 objective objective ADJ cana-6325 133 55 function function NOUN cana-6325 133 56 . . PUNCT cana-6325 134 1 determine determine VERB cana-6325 134 2 the the DET cana-6325 134 3 best good ADJ cana-6325 134 4 possible possible ADJ cana-6325 134 5 representation representation NOUN cana-6325 134 6 of of ADP cana-6325 134 7 each each DET cana-6325 134 8 dimension dimension NOUN cana-6325 134 9 for for ADP cana-6325 134 10 each each DET cana-6325 134 11 desirable desirable ADJ cana-6325 134 12 feature feature NOUN cana-6325 134 13 . . PUNCT cana-6325 135 1 the the DET cana-6325 135 2 two two NUM cana-6325 135 3 most most ADV cana-6325 135 4 important important ADJ cana-6325 135 5 characteristics characteristic NOUN cana-6325 135 6 of of ADP cana-6325 135 7 a a DET cana-6325 135 8 good good ADJ cana-6325 135 9 feature feature NOUN cana-6325 135 10 representation representation NOUN cana-6325 135 11 are be AUX cana-6325 135 12 scalability scalability NOUN cana-6325 135 13 and and CCONJ cana-6325 135 14 the the DET cana-6325 135 15 presence presence NOUN cana-6325 135 16 of of ADP cana-6325 135 17 an an DET cana-6325 135 18 efficient efficient ADJ cana-6325 135 19 discriminating discriminating NOUN cana-6325 135 20 factor factor NOUN cana-6325 135 21 in in ADP cana-6325 135 22 the the DET cana-6325 135 23 attributes attribute NOUN cana-6325 135 24 used use VERB cana-6325 135 25 to to PART cana-6325 135 26 compare compare VERB cana-6325 135 27 classes class NOUN cana-6325 135 28 . . PUNCT cana-6325 136 1 in in ADP cana-6325 136 2 multi multi ADJ cana-6325 136 3 - - ADJ cana-6325 136 4 labeled labeled ADJ cana-6325 136 5 clustering clustering NOUN cana-6325 136 6 , , PUNCT cana-6325 136 7 utilise utilise VERB cana-6325 136 8 orthogonal orthogonal ADJ cana-6325 136 9 restrictions restriction NOUN cana-6325 136 10 to to PART cana-6325 136 11 meet meet VERB cana-6325 136 12 the the DET cana-6325 136 13 representation representation NOUN cana-6325 136 14 of of ADP cana-6325 136 15 intended intended ADJ cana-6325 136 16 feature feature NOUN cana-6325 136 17 presentation presentation NOUN cana-6325 136 18 . . PUNCT cana-6325 137 1 𝐹𝑖𝑗 𝐹𝑖𝑗 PRON cana-6325 137 2 { { PUNCT cana-6325 137 3 1 1 NUM cana-6325 137 4 𝑗 𝑗 NOUN cana-6325 137 5 = = SYM cana-6325 137 6 𝑖 𝑖 SYM cana-6325 137 7 1 1 NUM cana-6325 137 8 ≀ ≀ NUM cana-6325 137 9 𝑗 𝑗 PROPN cana-6325 137 10 , , PUNCT cana-6325 137 11 𝑖 𝑖 PROPN cana-6325 137 12 ≀ ≀ PROPN cana-6325 137 13 𝑐 𝑐 SYM cana-6325 137 14 0 0 NUM cana-6325 137 15 π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ π‘œπ‘‘β„Žπ‘’π‘Ÿπ‘€π‘–π‘ π‘’ NOUN cana-6325 137 16 0 0 NUM cana-6325 137 17 … … PUNCT cana-6325 137 18 … … PUNCT cana-6325 137 19 … … PUNCT cana-6325 137 20 … … PUNCT cana-6325 137 21 … … PUNCT cana-6325 137 22 …… …… NOUN cana-6325 137 23 …… …… NOUN cana-6325 137 24 …… …… NOUN cana-6325 137 25 .. .. PUNCT cana-6325 137 26 ( ( PUNCT cana-6325 137 27 9 9 NUM cana-6325 137 28 ) ) PUNCT cana-6325 137 29 then then ADV cana-6325 137 30 orthogonal orthogonal ADJ cana-6325 137 31 constraint constraint NOUN cana-6325 137 32 framework framework NOUN cana-6325 137 33 described describe VERB cana-6325 137 34 as as ADP cana-6325 137 35 β„· β„· PROPN cana-6325 137 36 βˆ‘ βˆ‘ PROPN cana-6325 137 37 𝑛𝑒 𝑛𝑒 PROPN cana-6325 137 38 𝑒=1 𝑒=1 PROPN cana-6325 137 39 ||𝐹𝑂(𝑍𝑒(𝑍𝑒)𝑇 ||𝐹𝑂(𝑍𝑒(𝑍𝑒)𝑇 PROPN cana-6325 137 40 βˆ’ βˆ’ PROPN cana-6325 137 41 𝐼|| 𝐼|| NOUN cana-6325 137 42 𝐹 𝐹 PROPN cana-6325 137 43 2 2 NUM cana-6325 137 44 communications communication NOUN cana-6325 137 45 on on ADP cana-6325 137 46 applied apply VERB cana-6325 137 47 nonlinear nonlinear ADJ cana-6325 137 48 analysis analysis NOUN cana-6325 137 49 issn issn NOUN cana-6325 137 50 : : PUNCT cana-6325 137 51 1074 1074 NUM cana-6325 137 52 - - PUNCT cana-6325 137 53 133x 133x NUM cana-6325 137 54 vol vol NOUN cana-6325 137 55 32 32 NUM cana-6325 138 1 no no NOUN cana-6325 138 2 . . PUNCT cana-6325 139 1 3s 3s NUM cana-6325 139 2 ( ( PUNCT cana-6325 139 3 2025 2025 NUM cana-6325 139 4 ) ) PUNCT cana-6325 139 5 893 893 NUM cana-6325 139 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 139 7 in in ADP cana-6325 139 8 this this DET cana-6325 139 9 case case NOUN cana-6325 139 10 , , PUNCT cana-6325 139 11 we we PRON cana-6325 139 12 may may AUX cana-6325 139 13 determine determine VERB cana-6325 139 14 the the DET cana-6325 139 15 control control NOUN cana-6325 139 16 ability ability NOUN cana-6325 139 17 of of ADP cana-6325 139 18 the the DET cana-6325 139 19 orthogonal orthogonal ADJ cana-6325 139 20 constraint constraint NOUN cana-6325 139 21 relation relation NOUN cana-6325 139 22 by by ADP cana-6325 139 23 representing represent VERB cana-6325 139 24 the the DET cana-6325 139 25 multiplication multiplication NOUN cana-6325 139 26 operator operator NOUN cana-6325 139 27 with with ADP cana-6325 139 28 distinct distinct ADJ cana-6325 139 29 notations notation NOUN cana-6325 139 30 . . PUNCT cana-6325 140 1 this this PRON cana-6325 140 2 is be AUX cana-6325 140 3 a a DET cana-6325 140 4 representation representation NOUN cana-6325 140 5 of of ADP cana-6325 140 6 various various ADJ cana-6325 140 7 forms form NOUN cana-6325 140 8 in in ADP cana-6325 140 9 various various ADJ cana-6325 140 10 dimensions dimension NOUN cana-6325 140 11 that that PRON cana-6325 140 12 may may AUX cana-6325 140 13 hold hold VERB cana-6325 140 14 unity unity NOUN cana-6325 140 15 data datum NOUN cana-6325 140 16 according accord VERB cana-6325 140 17 to to ADP cana-6325 140 18 the the DET cana-6325 140 19 clustering clustering ADJ cana-6325 140 20 specification specification NOUN cana-6325 140 21 's 's PART cana-6325 140 22 structure structure NOUN cana-6325 140 23 . . PUNCT cana-6325 141 1 b b X cana-6325 141 2 ) ) PUNCT cana-6325 141 3 convex convex ADJ cana-6325 141 4 feature feature NOUN cana-6325 141 5 optimization optimization NOUN cana-6325 141 6 : : PUNCT cana-6325 141 7 according accord VERB cana-6325 141 8 to to ADP cana-6325 141 9 the the DET cana-6325 141 10 global global ADJ cana-6325 141 11 minimum minimum PROPN cana-6325 141 12 relations relation NOUN cana-6325 141 13 - - PUNCT cana-6325 141 14 based base VERB cana-6325 141 15 objective objective ADJ cana-6325 141 16 function function NOUN cana-6325 141 17 , , PUNCT cana-6325 141 18 which which PRON cana-6325 141 19 investigates investigate VERB cana-6325 141 20 many many ADJ cana-6325 141 21 variables variable NOUN cana-6325 141 22 𝑉𝑒&𝑍𝑒 𝑉𝑒&𝑍𝑒 PROPN cana-6325 141 23 the the DET cana-6325 141 24 optimization optimization NOUN cana-6325 141 25 process process NOUN cana-6325 141 26 is be AUX cana-6325 141 27 adjusted adjust VERB cana-6325 141 28 to to PART cana-6325 141 29 accommodate accommodate VERB cana-6325 141 30 additional additional ADJ cana-6325 141 31 constraints constraint NOUN cana-6325 141 32 , , PUNCT cana-6325 141 33 such such ADJ cana-6325 141 34 as as ADP cana-6325 141 35 connecting connect VERB cana-6325 141 36 one one NUM cana-6325 141 37 attribute attribute NOUN cana-6325 141 38 to to ADP cana-6325 141 39 other other ADJ cana-6325 141 40 attributes attribute NOUN cana-6325 141 41 provided provide VERB cana-6325 141 42 as as ADP cana-6325 141 43 constants constant NOUN cana-6325 141 44 , , PUNCT cana-6325 141 45 along along ADP cana-6325 141 46 with with ADP cana-6325 141 47 non non ADJ cana-6325 141 48 - - ADJ cana-6325 141 49 convex convex ADJ cana-6325 141 50 functions function NOUN cana-6325 141 51 . . PUNCT cana-6325 142 1 when when SCONJ cana-6325 142 2 employing employ VERB cana-6325 142 3 convex convex NOUN cana-6325 142 4 optimization optimization NOUN cana-6325 142 5 with with ADP cana-6325 142 6 non non ADJ cana-6325 142 7 - - ADJ cana-6325 142 8 negative negative ADJ cana-6325 142 9 attribute attribute NOUN cana-6325 142 10 relations relation NOUN cana-6325 142 11 and and CCONJ cana-6325 142 12 lagrange lagrange NOUN cana-6325 142 13 multipliers multiplier NOUN cana-6325 142 14 , , PUNCT cana-6325 142 15 the the DET cana-6325 142 16 non non ADJ cana-6325 142 17 - - ADJ cana-6325 142 18 negative negative ADJ cana-6325 142 19 matrix matrix NOUN cana-6325 142 20 relations relation NOUN cana-6325 142 21 described describe VERB cana-6325 142 22 by by ADP cana-6325 142 23 the the DET cana-6325 142 24 equation equation NOUN cana-6325 142 25 can can AUX cana-6325 142 26 be be AUX cana-6325 142 27 used use VERB cana-6325 142 28 in in ADP cana-6325 142 29 lagrange lagrange NOUN cana-6325 142 30 matrices matrix NOUN cana-6325 142 31 . . PUNCT cana-6325 143 1 the the DET cana-6325 143 2 qualities quality NOUN cana-6325 143 3 labeled label VERB cana-6325 143 4 by by ADP cana-6325 143 5 eqn eqn NOUN cana-6325 143 6 ( ( PUNCT cana-6325 143 7 11 11 NUM cana-6325 143 8 ) ) PUNCT cana-6325 143 9 are be AUX cana-6325 143 10 subject subject ADJ cana-6325 143 11 to to ADP cana-6325 143 12 kkt kkt PROPN cana-6325 143 13 conditions condition NOUN cana-6325 143 14 during during ADP cana-6325 143 15 implementation implementation NOUN cana-6325 143 16 . . PUNCT cana-6325 144 1 ( ( PUNCT cana-6325 144 2 𝐴𝑛 𝐴𝑛 PROPN cana-6325 144 3 𝑋𝑍𝑛 𝑋𝑍𝑛 VERB cana-6325 144 4 βˆ’ βˆ’ PROPN cana-6325 144 5 𝑉𝑛 𝑉𝑛 PROPN cana-6325 144 6 ( ( PUNCT cana-6325 144 7 𝑧𝑒)𝑇 𝑧𝑒)𝑇 INTJ cana-6325 144 8 𝑋𝑇 𝑋𝑇 PROPN cana-6325 144 9 𝑋𝑍𝑛)𝑖𝑗 𝑋𝑍𝑛)𝑖𝑗 NOUN cana-6325 144 10 𝑉𝑖𝑗 𝑉𝑖𝑗 PROPN cana-6325 144 11 𝑒=0 𝑒=0 PROPN cana-6325 144 12 πœƒπ‘’ πœƒπ‘’ ADP cana-6325 144 13 𝑋 𝑋 PROPN cana-6325 144 14 𝑇 𝑇 PROPN cana-6325 144 15 ( ( PUNCT cana-6325 144 16 𝐴𝑒)𝑇𝑉𝑒 𝐴𝑒)𝑇𝑉𝑒 PROPN cana-6325 144 17 -2Ξ»(𝐹𝑂(𝑍𝑒(𝑍𝑒)𝑇)𝑍𝑒+2λ𝑍𝑒-4Ξ»f(𝑍𝑒.𝑍𝑒.𝑍𝑒)+ -2Ξ»(𝐹𝑂(𝑍𝑒(𝑍𝑒)𝑇)𝑍𝑒+2λ𝑍𝑒-4Ξ»f(𝑍𝑒.𝑍𝑒.𝑍𝑒)+ PROPN cana-6325 144 18 4Ξ»f(𝑍𝑒.𝑍𝑒.𝑍𝑒)-βˆ‘ 4Ξ»f(𝑍𝑒.𝑍𝑒.𝑍𝑒)-βˆ‘ NUM cana-6325 144 19 𝑛𝑒 𝑛𝑒 PROPN cana-6325 144 20 𝑠=1 𝑠=1 PUNCT cana-6325 144 21 πœƒπ‘’π‘  πœƒπ‘’π‘  NOUN cana-6325 144 22 , , PUNCT cana-6325 144 23 𝑍𝑗𝑖 𝑍𝑗𝑖 PROPN cana-6325 144 24 𝑠 𝑠 PROPN cana-6325 144 25 𝑍𝑗𝑖 𝑍𝑗𝑖 PROPN cana-6325 144 26 π‘ˆ π‘ˆ PROPN cana-6325 144 27 = = NOUN cana-6325 144 28 0 0 NUM cana-6325 144 29 . . PUNCT cana-6325 145 1 …… …… NOUN cana-6325 145 2 …… …… NOUN cana-6325 145 3 …… …… NOUN cana-6325 145 4 …… …… NOUN cana-6325 145 5 …… …… NOUN cana-6325 145 6 ( ( PUNCT cana-6325 145 7 11 11 NUM cana-6325 145 8 ) ) PUNCT cana-6325 145 9 as as SCONJ cana-6325 145 10 shown show VERB cana-6325 145 11 in in ADP cana-6325 145 12 eqn eqn NOUN cana-6325 145 13 . . PUNCT cana-6325 146 1 ( ( PUNCT cana-6325 146 2 12 12 NUM cana-6325 146 3 ) ) PUNCT cana-6325 146 4 , , PUNCT cana-6325 146 5 the the DET cana-6325 146 6 final final ADJ cana-6325 146 7 multi multi ADJ cana-6325 146 8 - - ADJ cana-6325 146 9 objective objective ADJ cana-6325 146 10 function function NOUN cana-6325 146 11 is be AUX cana-6325 146 12 𝑣𝑗𝑖 𝑣𝑗𝑖 NOUN cana-6325 146 13 𝑒←𝑣𝑗𝑖 𝑒←𝑣𝑗𝑖 NOUN cana-6325 146 14 𝑒 𝑒 NOUN cana-6325 146 15 ( ( PUNCT cana-6325 146 16 𝐴𝑒 𝐴𝑒 AUX cana-6325 146 17 𝑋𝑍𝑒 𝑋𝑍𝑒 ADJ cana-6325 146 18 ) ) PUNCT cana-6325 146 19 𝑗𝑖 𝑗𝑖 INTJ cana-6325 146 20 ( ( PUNCT cana-6325 146 21 𝑉𝑒(𝑍𝑒 𝑉𝑒(𝑍𝑒 NOUN cana-6325 146 22 ) ) PUNCT cana-6325 146 23 𝑇 𝑇 PROPN cana-6325 146 24 𝑋𝑇 𝑋𝑇 PROPN cana-6325 146 25 𝑋𝑍𝑒 𝑋𝑍𝑒 ADJ cana-6325 146 26 ) ) PUNCT cana-6325 147 1 𝑗𝑖 𝑗𝑖 PROPN cana-6325 147 2 𝑍𝑗𝑖 𝑍𝑗𝑖 PROPN cana-6325 147 3 𝑒←𝑍𝑗𝑖 𝑒←𝑍𝑗𝑖 PUNCT cana-6325 147 4 𝑒 𝑒 NOUN cana-6325 147 5 ( ( PUNCT cana-6325 147 6 πœƒπ‘’ πœƒπ‘’ ADP cana-6325 147 7 𝑋 𝑋 PROPN cana-6325 147 8 𝑇 𝑇 PROPN cana-6325 147 9 ( ( PUNCT cana-6325 147 10 𝐴𝑒)𝑇𝑉𝑒+2πœ†π‘π‘’+4πœ†πΉ(𝑍𝑒.𝑍𝑒.𝑍𝑒)+βˆ‘ 𝐴𝑒)𝑇𝑉𝑒+2πœ†π‘π‘’+4πœ†πΉ(𝑍𝑒.𝑍𝑒.𝑍𝑒)+βˆ‘ X cana-6325 147 11 𝑛𝑒 𝑛𝑒 PROPN cana-6325 147 12 𝑠=1 𝑠=1 PUNCT cana-6325 147 13 πœƒπ‘’π‘ π‘π‘  πœƒπ‘’π‘ π‘π‘  PROPN cana-6325 147 14 ) ) PUNCT cana-6325 147 15 𝑖𝑗 𝑖𝑗 X cana-6325 147 16 ( ( PUNCT cana-6325 147 17 πœƒπ‘’ πœƒπ‘’ PART cana-6325 147 18 𝑋𝑇 𝑋𝑇 PROPN cana-6325 147 19 𝑋𝑍(𝑉𝑒)𝑒+2πœ†πΉπ‘‚(𝑍𝑒(𝑍𝑒)𝑇)𝑍𝑒+4πœ†πΉ(𝑍𝑒.𝑍𝑒.𝑍𝑒)+βˆ‘ 𝑋𝑍(𝑉𝑒)𝑒+2πœ†πΉπ‘‚(𝑍𝑒(𝑍𝑒)𝑇)𝑍𝑒+4πœ†πΉ(𝑍𝑒.𝑍𝑒.𝑍𝑒)+βˆ‘ ADJ cana-6325 147 20 𝑛𝑒 𝑛𝑒 PROPN cana-6325 147 21 𝑠=1 𝑠=1 PUNCT cana-6325 147 22 πœƒπ‘’π‘ π‘π‘  πœƒπ‘’π‘ π‘π‘  PROPN cana-6325 147 23 ) ) PUNCT cana-6325 147 24 𝑖𝑗 𝑖𝑗 X cana-6325 147 25 … … PUNCT cana-6325 147 26 … … PUNCT cana-6325 147 27 … … PUNCT cana-6325 147 28 … … PUNCT cana-6325 147 29 … … PUNCT cana-6325 147 30 … … PUNCT cana-6325 147 31 … … PUNCT cana-6325 147 32 … … PUNCT cana-6325 147 33 ( ( PUNCT cana-6325 147 34 12 12 NUM cana-6325 147 35 ) ) PUNCT cana-6325 147 36 the the DET cana-6325 147 37 following follow VERB cana-6325 147 38 is be AUX cana-6325 147 39 an an DET cana-6325 147 40 objective objective ADJ cana-6325 147 41 algorithm algorithm NOUN cana-6325 147 42 description description NOUN cana-6325 147 43 based base VERB cana-6325 147 44 on on ADP cana-6325 147 45 the the DET cana-6325 147 46 above above ADJ cana-6325 147 47 : : PUNCT cana-6325 147 48 algorithm algorithm NOUN cana-6325 147 49 1 1 NUM cana-6325 147 50 : : PUNCT cana-6325 147 51 a a DET cana-6325 147 52 method method NOUN cana-6325 147 53 for for ADP cana-6325 147 54 optimising optimise VERB cana-6325 147 55 multi multi ADJ cana-6325 147 56 - - ADJ cana-6325 147 57 labeled labeled ADJ cana-6325 147 58 clustering clustering NOUN cana-6325 147 59 is be AUX cana-6325 147 60 proposed propose VERB cana-6325 147 61 . . PUNCT cana-6325 148 1 i i PRON cana-6325 148 2 / / SYM cana-6325 149 1 p p X cana-6325 149 2 : : PUNCT cana-6325 149 3 multi multi ADJ cana-6325 149 4 labeled label VERB cana-6325 149 5 data datum NOUN cana-6325 149 6 set set VERB cana-6325 149 7 { { PUNCT cana-6325 149 8 𝐴1 𝐴1 PROPN cana-6325 149 9 , , PUNCT cana-6325 149 10 𝐴2 𝐴2 PROPN cana-6325 149 11 . . PUNCT cana-6325 149 12 . . PUNCT cana-6325 149 13 . . PUNCT cana-6325 149 14 . . PUNCT cana-6325 149 15 . . PUNCT cana-6325 149 16 . . PUNCT cana-6325 149 17 . . PUNCT cana-6325 150 1 𝐴𝑛𝑒 𝐴𝑛𝑒 NOUN cana-6325 150 2 } } PUNCT cana-6325 150 3 no no NOUN cana-6325 150 4 . . NOUN cana-6325 150 5 of of ADP cana-6325 150 6 clusters cluster NOUN cana-6325 150 7 , , PUNCT cana-6325 150 8 no no INTJ cana-6325 150 9 . . NOUN cana-6325 150 10 of of ADP cana-6325 150 11 samples sample NOUN cana-6325 150 12 , , PUNCT cana-6325 150 13 different different ADJ cana-6325 150 14 parameters parameter NOUN cana-6325 150 15 πœƒπ‘£ πœƒπ‘£ ADP cana-6325 150 16 , , PUNCT cana-6325 150 17 πœƒπ‘£π‘  πœƒπ‘£π‘  X cana-6325 150 18 produced produce VERB cana-6325 150 19 x x NOUN cana-6325 150 20 - - NOUN cana-6325 150 21 matrix matrix NOUN cana-6325 150 22 with with ADP cana-6325 150 23 constraints constraint NOUN cana-6325 150 24 and and CCONJ cana-6325 150 25 labels label NOUN cana-6325 150 26 developed develop VERB cana-6325 150 27 a a DET cana-6325 150 28 restricted restricted ADJ cana-6325 150 29 matrix matrix NOUN cana-6325 150 30 with with ADP cana-6325 150 31 optimal optimal ADJ cana-6325 150 32 constraints constraint NOUN cana-6325 150 33 f f X cana-6325 150 34 for for ADP cana-6325 150 35 u=1 u=1 PROPN cana-6325 150 36 - - PUNCT cana-6325 150 37 n n NOUN cana-6325 150 38 then then ADV cana-6325 150 39 factors factor VERB cana-6325 150 40 with with ADP cana-6325 150 41 normalization normalization NOUN cana-6325 150 42 i.e.𝐴𝑒(|𝐴𝑒 i.e.𝐴𝑒(|𝐴𝑒 NOUN cana-6325 150 43 (: (: NOUN cana-6325 150 44 , , PUNCT cana-6325 150 45 𝑗|2 𝑗|2 NOUN cana-6325 150 46 ) ) PUNCT cana-6325 150 47 update update NOUN cana-6325 150 48 initialize initialize NOUN cana-6325 150 49 parameters parameter NOUN cana-6325 150 50 𝑉𝑒&𝑍𝑒 𝑉𝑒&𝑍𝑒 PROPN cana-6325 150 51 in in ADP cana-6325 150 52 ploted plot VERB cana-6325 150 53 range range NOUN cana-6325 151 1 [ [ X cana-6325 151 2 1,0 1,0 NUM cana-6325 151 3 ] ] X cana-6325 151 4 e e NOUN cana-6325 151 5 - - AUX cana-6325 151 6 for for ADP cana-6325 151 7 for for ADP cana-6325 151 8 for for ADP cana-6325 151 9 u=1 u=1 PRON cana-6325 151 10 then then ADV cana-6325 151 11 a. a. NOUN cana-6325 151 12 develop develop VERB cana-6325 151 13 iterative iterative NOUN cana-6325 151 14 matrix matrix NOUN cana-6325 151 15 structures structure NOUN cana-6325 151 16 < < X cana-6325 151 17 t t NOUN cana-6325 151 18 communications communication NOUN cana-6325 151 19 on on ADP cana-6325 151 20 applied apply VERB cana-6325 151 21 nonlinear nonlinear ADJ cana-6325 151 22 analysis analysis NOUN cana-6325 151 23 issn issn NOUN cana-6325 151 24 : : PUNCT cana-6325 151 25 1074 1074 NUM cana-6325 151 26 - - PUNCT cana-6325 151 27 133x 133x NUM cana-6325 151 28 vol vol NOUN cana-6325 151 29 32 32 NUM cana-6325 151 30 no no NOUN cana-6325 151 31 . . PUNCT cana-6325 152 1 3s 3s NUM cana-6325 152 2 ( ( PUNCT cana-6325 152 3 2025 2025 NUM cana-6325 152 4 ) ) PUNCT cana-6325 152 5 894 894 NUM cana-6325 152 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 152 7 b. b. PROPN cana-6325 152 8 constant constant PROPN cana-6325 153 1 𝑉𝑒 𝑉𝑒 PROPN cana-6325 153 2 then then ADV cana-6325 153 3 update update VERB cana-6325 153 4 𝑍𝑒 𝑍𝑒 PROPN cana-6325 153 5 c. c. NOUN cana-6325 153 6 constant constant ADJ cana-6325 153 7 𝑍𝑒then 𝑍𝑒then PROPN cana-6325 153 8 update update NOUN cana-6325 153 9 𝑉𝑒 𝑉𝑒 PROPN cana-6325 153 10 e e NOUN cana-6325 153 11 - - NOUN cana-6325 153 12 for for ADV cana-6325 153 13 assess assess NOUN cana-6325 153 14 the the DET cana-6325 153 15 low low ADV cana-6325 153 16 - - PUNCT cana-6325 153 17 dimensional dimensional ADJ cana-6325 153 18 data datum NOUN cana-6325 153 19 representation representation NOUN cana-6325 153 20 i.e.π‘ˆπ‘£ i.e.π‘ˆπ‘£ VERB cana-6325 153 21 = = SYM cana-6325 153 22 𝑋𝑍𝑒 𝑋𝑍𝑒 ADJ cana-6325 153 23 review review VERB cana-6325 153 24 the the DET cana-6325 153 25 completed complete VERB cana-6325 153 26 low low ADJ cana-6325 153 27 - - PUNCT cana-6325 153 28 dimensional dimensional ADJ cana-6325 153 29 data datum NOUN cana-6325 153 30 representation representation NOUN cana-6325 153 31 . . PUNCT cana-6325 154 1 π‘ˆβˆ— π‘ˆβˆ— X cana-6325 155 1 = = PUNCT cana-6325 155 2 βˆ‘ βˆ‘ PUNCT cana-6325 155 3 𝑛𝑒 𝑛𝑒 PROPN cana-6325 155 4 𝑒=1 𝑒=1 NOUN cana-6325 156 1 π‘ˆπ‘’ π‘ˆπ‘’ PROPN cana-6325 156 2 𝑛𝑣 𝑛𝑣 NOUN cana-6325 156 3 o o NOUN cana-6325 156 4 / / SYM cana-6325 156 5 p p X cana-6325 156 6 : : PUNCT cana-6325 156 7 final final ADJ cana-6325 156 8 multi multi ADJ cana-6325 156 9 labeled label VERB cana-6325 156 10 cluster cluster NOUN cana-6325 156 11 result result VERB cana-6325 156 12 4.1 4.1 NUM cana-6325 156 13 multi multi ADJ cana-6325 156 14 labeled label VERB cana-6325 156 15 dimensional dimensional ADJ cana-6325 156 16 clustering clustering ADJ cana-6325 156 17 hierarchical hierarchical ADJ cana-6325 156 18 clustering clustering NOUN cana-6325 156 19 with with ADP cana-6325 156 20 multiple multiple ADJ cana-6325 156 21 labels label NOUN cana-6325 156 22 in in ADP cana-6325 156 23 order order NOUN cana-6325 156 24 to to PART cana-6325 156 25 create create VERB cana-6325 156 26 multi multi ADJ cana-6325 156 27 - - ADJ cana-6325 156 28 label label ADJ cana-6325 156 29 clustering clustering NOUN cana-6325 156 30 using use VERB cana-6325 156 31 basic basic ADJ cana-6325 156 32 cluster cluster NOUN cana-6325 156 33 functions function NOUN cana-6325 156 34 , , PUNCT cana-6325 156 35 we we PRON cana-6325 156 36 first first ADV cana-6325 156 37 determine determine VERB cana-6325 156 38 the the DET cana-6325 156 39 similarity similarity NOUN cana-6325 156 40 measure measure NOUN cana-6325 156 41 between between ADP cana-6325 156 42 input input NOUN cana-6325 156 43 articles article NOUN cana-6325 156 44 in in ADP cana-6325 156 45 the the DET cana-6325 156 46 same same ADJ cana-6325 156 47 cluster cluster NOUN cana-6325 156 48 and and CCONJ cana-6325 156 49 use use VERB cana-6325 156 50 it it PRON cana-6325 156 51 to to PART cana-6325 156 52 calculate calculate VERB cana-6325 156 53 an an DET cana-6325 156 54 average average ADJ cana-6325 156 55 similarity similarity NOUN cana-6325 156 56 weight weight NOUN cana-6325 156 57 . . PUNCT cana-6325 157 1 framework framework NOUN cana-6325 157 2 for for ADP cana-6325 157 3 investigating investigate VERB cana-6325 157 4 figure figure NOUN cana-6325 157 5 - - PUNCT cana-6325 157 6 depicted depict VERB cana-6325 157 7 multi multi ADJ cana-6325 157 8 - - ADJ cana-6325 157 9 dimensional dimensional ADJ cana-6325 157 10 document document NOUN cana-6325 157 11 clustering cluster VERB cana-6325 157 12 fig fig NOUN cana-6325 157 13 2 2 NUM cana-6325 157 14 : : PUNCT cana-6325 157 15 architecture architecture NOUN cana-6325 157 16 of of ADP cana-6325 157 17 proposed propose VERB cana-6325 157 18 approach approach NOUN cana-6325 157 19 figure figure NOUN cana-6325 157 20 1 1 NUM cana-6325 157 21 the the DET cana-6325 157 22 overall overall ADJ cana-6325 157 23 , , PUNCT cana-6325 157 24 step step NOUN cana-6325 157 25 - - PUNCT cana-6325 157 26 by by ADP cana-6325 157 27 - - PUNCT cana-6325 157 28 step step NOUN cana-6325 157 29 process process NOUN cana-6325 157 30 for for ADP cana-6325 157 31 gathering gather VERB cana-6325 157 32 multi multi ADJ cana-6325 157 33 - - ADJ cana-6325 157 34 dimensional dimensional ADJ cana-6325 157 35 cluster cluster NOUN cana-6325 157 36 findings finding NOUN cana-6325 157 37 is be AUX cana-6325 157 38 illustrated illustrate VERB cana-6325 157 39 in in ADP cana-6325 157 40 this this DET cana-6325 157 41 method method NOUN cana-6325 157 42 yielded yield VERB cana-6325 157 43 the the DET cana-6325 157 44 weighted weighted ADJ cana-6325 157 45 similarity similarity NOUN cana-6325 157 46 expression expression NOUN cana-6325 157 47 , , PUNCT cana-6325 157 48 which which PRON cana-6325 157 49 is be AUX cana-6325 157 50 given give VERB cana-6325 157 51 by by ADP cana-6325 157 52 eqn eqn NOUN cana-6325 157 53 ( ( PUNCT cana-6325 157 54 13 13 NUM cana-6325 157 55 ) ) PUNCT cana-6325 157 56 𝐢𝑆 𝐢𝑆 NOUN cana-6325 158 1 = = SYM cana-6325 158 2 βˆ‘π‘› βˆ‘π‘› ADJ cana-6325 158 3 π‘Ÿ=1 π‘Ÿ=1 X cana-6325 158 4 π‘šπ‘Ÿ π‘šπ‘Ÿ PROPN cana-6325 158 5 [ [ PUNCT cana-6325 158 6 1 1 NUM cana-6325 158 7 π‘šπ‘‘ π‘šπ‘‘ PROPN cana-6325 158 8 2 2 NUM cana-6325 158 9 βˆ‘π‘‘π‘–,𝑑𝑗,π‘†π‘Ÿ βˆ‘π‘‘π‘–,𝑑𝑗,π‘†π‘Ÿ PROPN cana-6325 158 10 𝑆(𝑑𝑖 𝑆(𝑑𝑖 PROPN cana-6325 158 11 , , PUNCT cana-6325 158 12 𝑑𝑗 𝑑𝑗 PROPN cana-6325 158 13 ) ) PUNCT cana-6325 158 14 ] ] PUNCT cana-6325 158 15 … … PUNCT cana-6325 158 16 …… …… NOUN cana-6325 158 17 …… …… NOUN cana-6325 158 18 . . PUNCT cana-6325 159 1 ( ( PUNCT cana-6325 159 2 13 13 NUM cana-6325 159 3 ) ) PUNCT cana-6325 159 4 βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ PROPN cana-6325 159 5 𝑆(𝑑𝑖 𝑆(𝑑𝑖 PROPN cana-6325 159 6 , , PUNCT cana-6325 159 7 𝑑𝑗)=βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ 𝑑𝑗)=βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ PROPN cana-6325 160 1 𝑆(𝑑𝑖 𝑆(𝑑𝑖 PROPN cana-6325 160 2 𝑑 𝑑 PROPN cana-6325 160 3 , , PUNCT cana-6325 160 4 𝑑𝑗)2π‘šπ‘Ÿ 𝑑𝑗)2π‘šπ‘Ÿ ADV cana-6325 160 5 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ X cana-6325 160 6 βˆ‘π‘‘π‘–,∈,π‘†π‘Ÿ βˆ‘π‘‘π‘–,∈,π‘†π‘Ÿ PROPN cana-6325 160 7 𝑑𝑖 𝑑𝑖 PROPN cana-6325 160 8 𝑑 𝑑 PROPN cana-6325 160 9 , , PUNCT cana-6325 160 10 βˆ‘π‘‘π‘š,∈,𝑆/π‘†π‘Ÿ βˆ‘π‘‘π‘š,∈,𝑆/π‘†π‘Ÿ PROPN cana-6325 160 11 π‘‘β„Ž π‘‘β„Ž NOUN cana-6325 160 12 + + NOUN cana-6325 160 13 π‘›π‘Ÿ π‘›π‘Ÿ ADP cana-6325 160 14 2 2 NUM cana-6325 160 15 = = SYM cana-6325 160 16 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-6325 160 17 π‘‘π‘‡π‘Ÿ π‘‘π‘‡π‘Ÿ ADV cana-6325 160 18 βˆ’ βˆ’ PROPN cana-6325 160 19 2π‘šπ‘Ÿ 2π‘šπ‘Ÿ ADJ cana-6325 160 20 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ X cana-6325 160 21 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-6325 160 22 𝑑(t-π‘‡π‘Ÿ)+π‘šπ‘Ÿ 𝑑(t-π‘‡π‘Ÿ)+π‘šπ‘Ÿ NOUN cana-6325 160 23 2 2 NUM cana-6325 160 24 π‘š+π‘šπ‘Ÿ π‘š+π‘šπ‘Ÿ ADP cana-6325 160 25 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ X cana-6325 160 26 |π‘‡π‘Ÿ|22π‘šπ‘Ÿ |π‘‡π‘Ÿ|22π‘šπ‘Ÿ NUM cana-6325 160 27 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ NOUN cana-6325 160 28 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-6325 160 29 𝑑t+π‘šπ‘Ÿ 𝑑t+π‘šπ‘Ÿ NOUN cana-6325 160 30 2 2 NUM cana-6325 160 31 filtering filter VERB cana-6325 160 32 documents document NOUN cana-6325 160 33 based base VERB cana-6325 160 34 on on ADP cana-6325 160 35 their their PRON cana-6325 160 36 degree degree NOUN cana-6325 160 37 of of ADP cana-6325 160 38 similarity similarity NOUN cana-6325 160 39 using use VERB cana-6325 160 40 weighted weight VERB cana-6325 160 41 cluster cluster NOUN cana-6325 160 42 functions function NOUN cana-6325 160 43 , , PUNCT cana-6325 160 44 as as SCONJ cana-6325 160 45 shown show VERB cana-6325 160 46 in in ADP cana-6325 160 47 eq(14 eq(14 NOUN cana-6325 160 48 ) ) PUNCT cana-6325 160 49 . . PUNCT cana-6325 161 1 communications communication NOUN cana-6325 161 2 on on ADP cana-6325 161 3 applied apply VERB cana-6325 161 4 nonlinear nonlinear ADJ cana-6325 161 5 analysis analysis NOUN cana-6325 161 6 issn issn NOUN cana-6325 161 7 : : PUNCT cana-6325 161 8 1074 1074 NUM cana-6325 161 9 - - PUNCT cana-6325 161 10 133x 133x NUM cana-6325 161 11 vol vol NOUN cana-6325 161 12 32 32 NUM cana-6325 161 13 no no NOUN cana-6325 161 14 . . PUNCT cana-6325 162 1 3s 3s NUM cana-6325 162 2 ( ( PUNCT cana-6325 162 3 2025 2025 NUM cana-6325 162 4 ) ) PUNCT cana-6325 162 5 895 895 NUM cana-6325 162 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 162 7 𝐢𝐹 𝐢𝐹 NOUN cana-6325 162 8 = = PUNCT cana-6325 162 9 βˆ‘π‘› βˆ‘π‘› PROPN cana-6325 163 1 π‘Ÿ=1 π‘Ÿ=1 SYM cana-6325 163 2 1 1 NUM cana-6325 163 3 π‘šπ‘Ÿ π‘šπ‘Ÿ NOUN cana-6325 163 4 [ [ PUNCT cana-6325 163 5 π‘š+π‘šπ‘Ÿ π‘š+π‘šπ‘Ÿ ADP cana-6325 163 6 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ X cana-6325 163 7 |π‘‡π‘Ÿ|2 |π‘‡π‘Ÿ|2 X cana-6325 163 8 βˆ’ βˆ’ PROPN cana-6325 163 9 ( ( PUNCT cana-6325 163 10 π‘š+π‘šπ‘Ÿ π‘š+π‘šπ‘Ÿ ADP cana-6325 164 1 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ ADJ cana-6325 164 2 βˆ’ βˆ’ NUM cana-6325 164 3 1 1 NUM cana-6325 164 4 ) ) PUNCT cana-6325 164 5 π‘‡π‘Ÿ π‘‡π‘Ÿ NOUN cana-6325 164 6 𝑑𝑇 𝑑𝑇 NOUN cana-6325 164 7 ] ] PUNCT cana-6325 164 8 . . PUNCT cana-6325 165 1 … … PUNCT cana-6325 165 2 … … PUNCT cana-6325 165 3 … … PUNCT cana-6325 165 4 … … PUNCT cana-6325 165 5 … … PUNCT cana-6325 165 6 … … SYM cana-6325 165 7 (14 (14 X cana-6325 165 8 ) ) PUNCT cana-6325 165 9 the the DET cana-6325 165 10 optimal optimal ADJ cana-6325 165 11 weighted weight VERB cana-6325 165 12 attribute attribute NOUN cana-6325 165 13 is be AUX cana-6325 165 14 the the DET cana-6325 165 15 foundation foundation NOUN cana-6325 165 16 of of ADP cana-6325 165 17 the the DET cana-6325 165 18 assessment assessment NOUN cana-6325 165 19 , , PUNCT cana-6325 165 20 which which PRON cana-6325 165 21 contrasts contrast VERB cana-6325 165 22 the the DET cana-6325 165 23 min min PROPN cana-6325 165 24 - - ADJ cana-6325 165 25 max max PROPN cana-6325 165 26 functionality functionality NOUN cana-6325 165 27 between between ADP cana-6325 165 28 two two NUM cana-6325 165 29 words word NOUN cana-6325 165 30 in in ADP cana-6325 165 31 the the DET cana-6325 165 32 input input NOUN cana-6325 165 33 texts text NOUN cana-6325 165 34 with with ADP cana-6325 165 35 optimal optimal ADJ cana-6325 165 36 weighted weight VERB cana-6325 165 37 cluster cluster NOUN cana-6325 165 38 functions function NOUN cana-6325 165 39 π‘‡π‘Ÿ π‘‡π‘Ÿ PROPN cana-6325 165 40 𝑑 𝑑 PROPN cana-6325 165 41 t t PROPN cana-6325 165 42 it it PRON cana-6325 165 43 is be AUX cana-6325 165 44 possible possible ADJ cana-6325 165 45 to to PART cana-6325 165 46 represent represent VERB cana-6325 165 47 the the DET cana-6325 165 48 integration integration NOUN cana-6325 165 49 of of ADP cana-6325 165 50 cluster cluster NOUN cana-6325 165 51 - - PUNCT cana-6325 165 52 related relate VERB cana-6325 165 53 document document NOUN cana-6325 165 54 functionality functionality NOUN cana-6325 165 55 as as ADP cana-6325 165 56 eqn eqn NOUN cana-6325 165 57 ( ( PUNCT cana-6325 165 58 15 15 NUM cana-6325 165 59 ) ) PUNCT cana-6325 166 1 𝐢𝐹 𝐢𝐹 NOUN cana-6325 166 2 = = SYM cana-6325 166 3 βˆ‘πΎ βˆ‘πΎ PROPN cana-6325 166 4 π‘Ÿ=1 π‘Ÿ=1 PRON cana-6325 166 5 πœ†π‘Ÿ πœ†π‘Ÿ ADV cana-6325 166 6 π‘šπ‘Ÿ π‘šπ‘Ÿ PROPN cana-6325 166 7 [ [ PUNCT cana-6325 166 8 π‘š+π‘šπ‘Ÿ π‘š+π‘šπ‘Ÿ ADP cana-6325 166 9 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ X cana-6325 166 10 |π‘‡π‘Ÿ|2 |π‘‡π‘Ÿ|2 X cana-6325 166 11 βˆ’ βˆ’ PROPN cana-6325 166 12 ( ( PUNCT cana-6325 166 13 π‘š+π‘šπ‘Ÿ π‘š+π‘šπ‘Ÿ ADP cana-6325 166 14 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ ADJ cana-6325 166 15 βˆ’ βˆ’ NUM cana-6325 166 16 1 1 NUM cana-6325 166 17 ) ) PUNCT cana-6325 166 18 π‘‡π‘Ÿ π‘‡π‘Ÿ NOUN cana-6325 166 19 𝑑𝑇] 𝑑𝑇] PROPN cana-6325 166 20 … … X cana-6325 166 21 … … PUNCT cana-6325 166 22 … … PUNCT cana-6325 166 23 … … PUNCT cana-6325 166 24 … … PUNCT cana-6325 166 25 .. .. PUNCT cana-6325 166 26 (15 (15 X cana-6325 166 27 ) ) PUNCT cana-6325 166 28 for for ADP cana-6325 166 29 related related ADJ cana-6325 166 30 document document NOUN cana-6325 166 31 clustering clustering NOUN cana-6325 166 32 , , PUNCT cana-6325 166 33 the the DET cana-6325 166 34 optimised optimise VERB cana-6325 166 35 functionality functionality NOUN cana-6325 166 36 ( ( PUNCT cana-6325 166 37 y y NOUN cana-6325 166 38 ) ) PUNCT cana-6325 166 39 is be AUX cana-6325 166 40 assessed assess VERB cana-6325 166 41 using use VERB cana-6325 166 42 eqn eqn NOUN cana-6325 166 43 . . PUNCT cana-6325 167 1 ( ( PUNCT cana-6325 167 2 18 18 NUM cana-6325 167 3 ) ) PUNCT cana-6325 167 4 , , PUNCT cana-6325 168 1 π‘Œ π‘Œ PROPN cana-6325 168 2 = = PUNCT cana-6325 168 3 βˆ‘π‘˜ βˆ‘π‘˜ PROPN cana-6325 168 4 π‘Ÿ=1 π‘Ÿ=1 NUM cana-6325 168 5 βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ βˆ‘π‘‘π‘–,𝑑𝑗,∈,π‘†π‘Ÿ PROPN cana-6325 168 6 1 1 NUM cana-6325 168 7 π‘šβˆ’π‘šπ‘Ÿ π‘šβˆ’π‘šπ‘Ÿ PROPN cana-6325 168 8 βˆ‘π‘‘β„Ž,∈,𝑆/π‘†π‘Ÿ βˆ‘π‘‘β„Ž,∈,𝑆/π‘†π‘Ÿ NUM cana-6325 168 9 𝑆 𝑆 PROPN cana-6325 168 10 ( ( PUNCT cana-6325 168 11 𝑑𝑖 𝑑𝑖 NOUN cana-6325 168 12 βˆ’ βˆ’ PROPN cana-6325 168 13 π‘‘β„Ž π‘‘β„Ž NOUN cana-6325 168 14 πΆπ‘Ÿ πΆπ‘Ÿ PROPN cana-6325 168 15 ||πΆπ‘Ÿ|| ||πΆπ‘Ÿ|| PROPN cana-6325 168 16 βˆ’ βˆ’ PROPN cana-6325 168 17 π‘‘β„Ž) π‘‘β„Ž) NUM cana-6325 168 18 … … NUM cana-6325 168 19 … … PUNCT cana-6325 168 20 … … PUNCT cana-6325 168 21 … … PUNCT cana-6325 168 22 … … PUNCT cana-6325 168 23 … … PUNCT cana-6325 168 24 … … PUNCT cana-6325 168 25 … … PUNCT cana-6325 168 26 … … PUNCT cana-6325 168 27 .. .. PUNCT cana-6325 168 28 (16 (16 PUNCT cana-6325 168 29 ) ) PUNCT cana-6325 168 30 cluster cluster NOUN cana-6325 168 31 functionality functionality NOUN cana-6325 168 32 , , PUNCT cana-6325 168 33 to to PART cana-6325 168 34 be be AUX cana-6325 168 35 assessed assess VERB cana-6325 168 36 using use VERB cana-6325 168 37 eqn eqn NOUN cana-6325 168 38 , , PUNCT cana-6325 168 39 is be AUX cana-6325 168 40 the the DET cana-6325 168 41 primary primary ADJ cana-6325 168 42 determinant determinant NOUN cana-6325 168 43 of of ADP cana-6325 168 44 multi multi ADJ cana-6325 168 45 - - ADJ cana-6325 168 46 labeled labeled ADJ cana-6325 168 47 clustering clustering NOUN cana-6325 168 48 optimisation optimisation NOUN cana-6325 168 49 using use VERB cana-6325 168 50 weighted weight VERB cana-6325 168 51 cluster cluster NOUN cana-6325 168 52 functions function NOUN cana-6325 168 53 . . PUNCT cana-6325 169 1 it it PRON cana-6325 169 2 is be AUX cana-6325 169 3 based base VERB cana-6325 169 4 on on ADP cana-6325 169 5 the the DET cana-6325 169 6 same same ADJ cana-6325 169 7 principle principle NOUN cana-6325 169 8 as as ADP cana-6325 169 9 cluster cluster NOUN cana-6325 169 10 creation creation NOUN cana-6325 169 11 with with ADP cana-6325 169 12 multiple multiple ADJ cana-6325 169 13 multi multi ADJ cana-6325 169 14 - - ADJ cana-6325 169 15 label label ADJ cana-6325 169 16 functionalities functionality NOUN cana-6325 169 17 . . PUNCT cana-6325 170 1 π‘€πΏπΆπ‘œπ‘π‘‘ π‘€πΏπΆπ‘œπ‘π‘‘ PROPN cana-6325 170 2 βˆ‘πΎ βˆ‘πΎ PROPN cana-6325 170 3 π‘Ÿ=1 π‘Ÿ=1 PRON cana-6325 171 1 πΌπ‘Ÿ πΌπ‘Ÿ PROPN cana-6325 171 2 ( ( PUNCT cana-6325 171 3 π‘šπ‘Ÿπ‘‡π‘Ÿ) π‘šπ‘Ÿπ‘‡π‘Ÿ) NOUN cana-6325 171 4 … … SYM cana-6325 171 5 … … PUNCT cana-6325 171 6 … … PUNCT cana-6325 171 7 … … PUNCT cana-6325 171 8 … … PUNCT cana-6325 171 9 … … PUNCT cana-6325 171 10 … … PUNCT cana-6325 171 11 … … PUNCT cana-6325 171 12 … … PUNCT cana-6325 171 13 .(17 .(17 PRON cana-6325 171 14 ) ) PUNCT cana-6325 171 15 optimal optimal ADJ cana-6325 171 16 multi multi ADJ cana-6325 171 17 - - ADJ cana-6325 171 18 label label ADJ cana-6325 171 19 clustering clustering NOUN cana-6325 171 20 involves involves AUX cana-6325 171 21 iteratively iteratively ADV cana-6325 171 22 applying apply VERB cana-6325 171 23 several several ADJ cana-6325 171 24 label label NOUN cana-6325 171 25 data datum NOUN cana-6325 171 26 sets set NOUN cana-6325 171 27 to to ADP cana-6325 171 28 a a DET cana-6325 171 29 set set NOUN cana-6325 171 30 of of ADP cana-6325 171 31 inputs input NOUN cana-6325 171 32 in in ADP cana-6325 171 33 order order NOUN cana-6325 171 34 to to PART cana-6325 171 35 get get VERB cana-6325 171 36 optimised optimise VERB cana-6325 171 37 cluster cluster NOUN cana-6325 171 38 results result NOUN cana-6325 171 39 , , PUNCT cana-6325 171 40 which which PRON cana-6325 171 41 are be AUX cana-6325 171 42 then then ADV cana-6325 171 43 used use VERB cana-6325 171 44 to to PART cana-6325 171 45 update update VERB cana-6325 171 46 the the DET cana-6325 171 47 relations relation NOUN cana-6325 171 48 in in ADP cana-6325 171 49 the the DET cana-6325 171 50 convergence convergence NOUN cana-6325 171 51 cluster cluster NOUN cana-6325 171 52 matrix matrix NOUN cana-6325 171 53 using use VERB cana-6325 171 54 a a DET cana-6325 171 55 similarity similarity NOUN cana-6325 171 56 measure measure NOUN cana-6325 171 57 . . PUNCT cana-6325 172 1 5 5 X cana-6325 172 2 . . X cana-6325 172 3 experimental experimental ADJ cana-6325 172 4 evaluation evaluation NOUN cana-6325 172 5 of of ADP cana-6325 172 6 amvcocmh amvcocmh NOUN cana-6325 172 7 in in ADP cana-6325 172 8 this this DET cana-6325 172 9 section section NOUN cana-6325 172 10 , , PUNCT cana-6325 172 11 we we PRON cana-6325 172 12 will will AUX cana-6325 172 13 compare compare VERB cana-6325 172 14 ocmhamvc ocmhamvc NOUN cana-6325 172 15 's 's PART cana-6325 172 16 performance performance NOUN cana-6325 172 17 with with ADP cana-6325 172 18 that that PRON cana-6325 172 19 of of ADP cana-6325 172 20 more more ADJ cana-6325 172 21 conventional conventional ADJ cana-6325 172 22 methods method NOUN cana-6325 172 23 across across ADP cana-6325 172 24 various various ADJ cana-6325 172 25 parameters parameter NOUN cana-6325 172 26 . . PUNCT cana-6325 173 1 we we PRON cana-6325 173 2 will will AUX cana-6325 173 3 test test VERB cana-6325 173 4 the the DET cana-6325 173 5 effectiveness effectiveness NOUN cana-6325 173 6 of of ADP cana-6325 173 7 the the DET cana-6325 173 8 suggested suggest VERB cana-6325 173 9 method method NOUN cana-6325 173 10 by by ADP cana-6325 173 11 using use VERB cana-6325 173 12 real real ADJ cana-6325 173 13 document document NOUN cana-6325 173 14 data datum NOUN cana-6325 173 15 . . PUNCT cana-6325 174 1 ocmhamvc ocmhamvc PROPN cana-6325 174 2 clusters cluster VERB cana-6325 174 3 multi multi ADJ cana-6325 174 4 - - ADJ cana-6325 174 5 labeled label VERB cana-6325 174 6 documents document NOUN cana-6325 174 7 using use VERB cana-6325 174 8 a a DET cana-6325 174 9 similarity similarity NOUN cana-6325 174 10 measure measure NOUN cana-6325 174 11 that that PRON cana-6325 174 12 relies rely VERB cana-6325 174 13 on on ADP cana-6325 174 14 weighted weight VERB cana-6325 174 15 cluster cluster NOUN cana-6325 174 16 functions function NOUN cana-6325 174 17 based base VERB cana-6325 174 18 on on ADP cana-6325 174 19 cosine cosine NOUN cana-6325 174 20 and and CCONJ cana-6325 174 21 relative relative ADJ cana-6325 174 22 jaccard jaccard ADJ cana-6325 174 23 scores score NOUN cana-6325 174 24 , , PUNCT cana-6325 174 25 as as ADV cana-6325 174 26 well well ADV cana-6325 174 27 as as ADP cana-6325 174 28 on on ADP cana-6325 174 29 the the DET cana-6325 174 30 standard standard ADJ cana-6325 174 31 geometric geometric ADJ cana-6325 174 32 distance distance NOUN cana-6325 174 33 . . PUNCT cana-6325 175 1 a a DET cana-6325 175 2 ) ) PUNCT cana-6325 175 3 input input NOUN cana-6325 175 4 clustering cluster VERB cana-6325 175 5 data datum NOUN cana-6325 175 6 in in ADP cana-6325 175 7 this this DET cana-6325 175 8 experiment experiment NOUN cana-6325 175 9 , , PUNCT cana-6325 175 10 we we PRON cana-6325 175 11 combine combine VERB cana-6325 175 12 new new ADJ cana-6325 175 13 benchmark benchmark NOUN cana-6325 175 14 data data NOUN cana-6325 175 15 sets set NOUN cana-6325 175 16 from from ADP cana-6325 175 17 comprehensive comprehensive ADJ cana-6325 175 18 and and CCONJ cana-6325 175 19 efficient efficient ADJ cana-6325 175 20 sources source NOUN cana-6325 175 21 for for ADP cana-6325 175 22 multi multi ADJ cana-6325 175 23 - - ADJ cana-6325 175 24 labeled label VERB cana-6325 175 25 document document NOUN cana-6325 175 26 clustering clustering NOUN cana-6325 175 27 ; ; PUNCT cana-6325 175 28 in in ADP cana-6325 175 29 prior prior ADJ cana-6325 175 30 tests test NOUN cana-6325 175 31 , , PUNCT cana-6325 175 32 we we PRON cana-6325 175 33 used use VERB cana-6325 175 34 k1b k1b PROPN cana-6325 175 35 and and CCONJ cana-6325 175 36 reuter reuter PROPN cana-6325 175 37 's 's PART cana-6325 175 38 8 8 NUM cana-6325 175 39 - - SYM cana-6325 175 40 10 10 NUM cana-6325 175 41 versions version NOUN cana-6325 175 42 of of ADP cana-6325 175 43 this this DET cana-6325 175 44 data datum NOUN cana-6325 175 45 for for ADP cana-6325 175 46 document document NOUN cana-6325 175 47 clustering clustering NOUN cana-6325 175 48 . . PUNCT cana-6325 176 1 incorporate incorporate VERB cana-6325 176 2 cloud cloud NOUN cana-6325 176 3 - - PUNCT cana-6325 176 4 related relate VERB cana-6325 176 5 data datum NOUN cana-6325 176 6 sources source NOUN cana-6325 176 7 and and CCONJ cana-6325 176 8 downloaded download VERB cana-6325 176 9 data data NOUN cana-6325 176 10 sets set NOUN cana-6325 176 11 into into ADP cana-6325 176 12 real real ADJ cana-6325 176 13 - - PUNCT cana-6325 176 14 time time NOUN cana-6325 176 15 clustering clustering NOUN cana-6325 176 16 processes process NOUN cana-6325 176 17 by by ADP cana-6325 176 18 considering consider VERB cana-6325 176 19 their their PRON cana-6325 176 20 quantitative quantitative ADJ cana-6325 176 21 commonalities commonality NOUN cana-6325 176 22 . . PUNCT cana-6325 177 1 the the DET cana-6325 177 2 bbc bbc PROPN cana-6325 177 3 series series PROPN cana-6325 177 4 dataset dataset PROPN cana-6325 177 5 , , PUNCT cana-6325 177 6 reuter reuter PROPN cana-6325 177 7 's 's PART cana-6325 177 8 dataset dataset NOUN cana-6325 177 9 , , PUNCT cana-6325 177 10 series series NOUN cana-6325 177 11 3 3 NUM cana-6325 177 12 sources source NOUN cana-6325 177 13 dataset dataset VERB cana-6325 177 14 , , PUNCT cana-6325 177 15 and and CCONJ cana-6325 177 16 msrc msrc PROPN cana-6325 177 17 dataset dataset NOUN cana-6325 177 18 are be AUX cana-6325 177 19 the the DET cana-6325 177 20 main main ADJ cana-6325 177 21 datasets dataset NOUN cana-6325 177 22 utilized utilize VERB cana-6325 177 23 in in ADP cana-6325 177 24 our our PRON cana-6325 177 25 proposed propose VERB cana-6325 177 26 way way NOUN cana-6325 177 27 . . PUNCT cana-6325 178 1 these these DET cana-6325 178 2 databases database NOUN cana-6325 178 3 include include VERB cana-6325 178 4 massive massive ADJ cana-6325 178 5 volumes volume NOUN cana-6325 178 6 of of ADP cana-6325 178 7 data datum NOUN cana-6325 178 8 presented present VERB cana-6325 178 9 in in ADP cana-6325 178 10 html html NOUN cana-6325 178 11 documents document NOUN cana-6325 178 12 gathered gather VERB cana-6325 178 13 from from ADP cana-6325 178 14 a a DET cana-6325 178 15 wide wide ADJ cana-6325 178 16 range range NOUN cana-6325 178 17 of of ADP cana-6325 178 18 sources source NOUN cana-6325 178 19 , , PUNCT cana-6325 178 20 such such ADJ cana-6325 178 21 as as ADP cana-6325 178 22 those those PRON cana-6325 178 23 associated associate VERB cana-6325 178 24 with with ADP cana-6325 178 25 entertainment entertainment NOUN cana-6325 178 26 , , PUNCT cana-6325 178 27 politics politic NOUN cana-6325 178 28 , , PUNCT cana-6325 178 29 sports sport NOUN cana-6325 178 30 , , PUNCT cana-6325 178 31 medicine medicine NOUN cana-6325 178 32 , , PUNCT cana-6325 178 33 and and CCONJ cana-6325 178 34 commerce commerce NOUN cana-6325 178 35 . . PUNCT cana-6325 179 1 many many ADJ cana-6325 179 2 traditional traditional ADJ cana-6325 179 3 multi multi ADJ cana-6325 179 4 - - ADJ cana-6325 179 5 dimensional dimensional ADJ cana-6325 179 6 clustering clustering ADJ cana-6325 179 7 techniques technique NOUN cana-6325 179 8 are be AUX cana-6325 179 9 compared compare VERB cana-6325 179 10 to to ADP cana-6325 179 11 the the DET cana-6325 179 12 proposed propose VERB cana-6325 179 13 method method NOUN cana-6325 179 14 before before SCONJ cana-6325 179 15 it it PRON cana-6325 179 16 is be AUX cana-6325 179 17 evaluated evaluate VERB cana-6325 179 18 on on ADP cana-6325 179 19 all all PRON cana-6325 179 20 of of ADP cana-6325 179 21 these these DET cana-6325 179 22 datasets dataset NOUN cana-6325 179 23 . . PUNCT cana-6325 180 1 here here ADV cana-6325 180 2 are be AUX cana-6325 180 3 some some PRON cana-6325 180 4 of of ADP cana-6325 180 5 the the DET cana-6325 180 6 ways way NOUN cana-6325 180 7 that that PRON cana-6325 180 8 are be AUX cana-6325 180 9 currently currently ADV cana-6325 180 10 being be AUX cana-6325 180 11 used use VERB cana-6325 180 12 : : PUNCT cana-6325 180 13 multinmf multinmf NOUN cana-6325 180 14 , , PUNCT cana-6325 180 15 gmnmf gmnmf NOUN cana-6325 180 16 , , PUNCT cana-6325 180 17 conmf conmf NOUN cana-6325 180 18 - - PUNCT cana-6325 180 19 p p X cana-6325 180 20 , , PUNCT cana-6325 180 21 and and CCONJ cana-6325 180 22 mvcc mvcc ADJ cana-6325 180 23 . . PUNCT cana-6325 181 1 5.1 5.1 NUM cana-6325 181 2 setting setting NOUN cana-6325 181 3 of of ADP cana-6325 181 4 experiments experiment NOUN cana-6325 181 5 study study VERB cana-6325 181 6 the the PRON cana-6325 181 7 to to PART cana-6325 181 8 compare compare VERB cana-6325 181 9 conventional conventional ADJ cana-6325 181 10 and and CCONJ cana-6325 181 11 proposed propose VERB cana-6325 181 12 methodologies methodology NOUN cana-6325 181 13 based base VERB cana-6325 181 14 on on ADP cana-6325 181 15 various various ADJ cana-6325 181 16 parameters parameter NOUN cana-6325 181 17 . . PUNCT cana-6325 182 1 draw draw VERB cana-6325 182 2 random random ADJ cana-6325 182 3 samples sample NOUN cana-6325 182 4 from from ADP cana-6325 182 5 multiple multiple ADJ cana-6325 182 6 data datum NOUN cana-6325 182 7 sources source NOUN cana-6325 182 8 , , PUNCT cana-6325 182 9 remove remove VERB cana-6325 182 10 labeled label VERB cana-6325 182 11 data datum NOUN cana-6325 182 12 from from ADP cana-6325 182 13 the the DET cana-6325 182 14 input input NOUN cana-6325 182 15 , , PUNCT cana-6325 182 16 and and CCONJ cana-6325 182 17 search search VERB cana-6325 182 18 for for ADP cana-6325 182 19 the the DET cana-6325 182 20 weight weight NOUN cana-6325 182 21 of of ADP cana-6325 182 22 each each DET cana-6325 182 23 parameter parameter NOUN cana-6325 182 24 using use VERB cana-6325 182 25 all all DET cana-6325 182 26 input input NOUN cana-6325 182 27 data datum NOUN cana-6325 182 28 . . PUNCT cana-6325 183 1 the the DET cana-6325 183 2 multi multi ADJ cana-6325 183 3 - - ADJ cana-6325 183 4 labeled label VERB cana-6325 183 5 dimensional dimensional ADJ cana-6325 183 6 clustering clustering NOUN cana-6325 183 7 method method NOUN cana-6325 183 8 is be AUX cana-6325 183 9 based base VERB cana-6325 183 10 on on ADP cana-6325 183 11 evaluating evaluate VERB cana-6325 183 12 communications communication NOUN cana-6325 183 13 on on ADP cana-6325 183 14 applied apply VERB cana-6325 183 15 nonlinear nonlinear ADJ cana-6325 183 16 analysis analysis NOUN cana-6325 183 17 issn issn NOUN cana-6325 183 18 : : PUNCT cana-6325 183 19 1074 1074 NUM cana-6325 183 20 - - PUNCT cana-6325 183 21 133x 133x NUM cana-6325 183 22 vol vol NOUN cana-6325 183 23 32 32 NUM cana-6325 183 24 no no NOUN cana-6325 183 25 . . PUNCT cana-6325 184 1 3s 3s NUM cana-6325 184 2 ( ( PUNCT cana-6325 184 3 2025 2025 NUM cana-6325 184 4 ) ) PUNCT cana-6325 184 5 896 896 NUM cana-6325 184 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 184 7 similarity similarity NOUN cana-6325 184 8 using use VERB cana-6325 184 9 weights weight NOUN cana-6325 184 10 and and CCONJ cana-6325 184 11 metrics metric NOUN cana-6325 184 12 derived derive VERB cana-6325 184 13 from from ADP cana-6325 184 14 geometric geometric ADJ cana-6325 184 15 distances distance NOUN cana-6325 184 16 . . PUNCT cana-6325 185 1 utilizing utilize VERB cana-6325 185 2 these these DET cana-6325 185 3 measures measure NOUN cana-6325 185 4 in in ADP cana-6325 185 5 our our PRON cana-6325 185 6 suggested suggest VERB cana-6325 185 7 method method NOUN cana-6325 185 8 will will AUX cana-6325 185 9 assess assess VERB cana-6325 185 10 how how SCONJ cana-6325 185 11 well well ADV cana-6325 185 12 every every DET cana-6325 185 13 cluster cluster NOUN cana-6325 185 14 dataset dataset VERB cana-6325 185 15 performs perform VERB cana-6325 185 16 in in ADP cana-6325 185 17 evaluating evaluate VERB cana-6325 185 18 several several ADJ cana-6325 185 19 measures measure NOUN cana-6325 185 20 , , PUNCT cana-6325 185 21 including include VERB cana-6325 185 22 precision precision NOUN cana-6325 185 23 , , PUNCT cana-6325 185 24 accuracy accuracy NOUN cana-6325 185 25 , , PUNCT cana-6325 185 26 recall recall NOUN cana-6325 185 27 , , PUNCT cana-6325 185 28 f f X cana-6325 185 29 - - PUNCT cana-6325 185 30 score score NOUN cana-6325 185 31 , , PUNCT cana-6325 185 32 normalization normalization NOUN cana-6325 185 33 factor factor NOUN cana-6325 185 34 , , PUNCT cana-6325 185 35 computational computational ADJ cana-6325 185 36 cost cost NOUN cana-6325 185 37 , , PUNCT cana-6325 185 38 memory memory NOUN cana-6325 185 39 consumption consumption NOUN cana-6325 185 40 , , PUNCT cana-6325 185 41 and and CCONJ cana-6325 185 42 the the DET cana-6325 185 43 jaccard jaccard ADJ cana-6325 185 44 coefficient coefficient NOUN cana-6325 185 45 , , PUNCT cana-6325 185 46 accuracy accuracy NOUN cana-6325 185 47 , , PUNCT cana-6325 185 48 and and CCONJ cana-6325 185 49 normalization normalization NOUN cana-6325 185 50 . . PUNCT cana-6325 185 51 " " PUNCT cana-6325 186 1 fig fig NOUN cana-6325 186 2 3 3 NUM cana-6325 186 3 : : PUNCT cana-6325 186 4 accuracy accuracy NOUN cana-6325 186 5 as as SCONJ cana-6325 186 6 measured measure VERB cana-6325 186 7 by by ADP cana-6325 186 8 parameters parameter NOUN cana-6325 186 9 for for ADP cana-6325 186 10 multi multi ADJ cana-6325 186 11 - - ADJ cana-6325 186 12 class class ADJ cana-6325 186 13 labels label NOUN cana-6325 186 14 . . PUNCT cana-6325 187 1 figure figure NOUN cana-6325 187 2 2 2 NUM cana-6325 187 3 shows show VERB cana-6325 187 4 the the DET cana-6325 187 5 results result NOUN cana-6325 187 6 of of ADP cana-6325 187 7 an an DET cana-6325 187 8 analysis analysis NOUN cana-6325 187 9 of of ADP cana-6325 187 10 five five NUM cana-6325 187 11 different different ADJ cana-6325 187 12 clustering clustering ADJ cana-6325 187 13 approaches approach NOUN cana-6325 187 14 based base VERB cana-6325 187 15 on on ADP cana-6325 187 16 the the DET cana-6325 187 17 accuracy accuracy NOUN cana-6325 187 18 of of ADP cana-6325 187 19 100–500 100–500 NUM cana-6325 187 20 html html NOUN cana-6325 187 21 text text NOUN cana-6325 187 22 documents document NOUN cana-6325 187 23 collected collect VERB cana-6325 187 24 using use VERB cana-6325 187 25 multi multi ADJ cana-6325 187 26 - - ADJ cana-6325 187 27 labeled label VERB cana-6325 187 28 data datum NOUN cana-6325 187 29 for for ADP cana-6325 187 30 every every DET cana-6325 187 31 data datum NOUN cana-6325 187 32 set set VERB cana-6325 187 33 in in ADP cana-6325 187 34 the the DET cana-6325 187 35 row row NOUN cana-6325 187 36 , , PUNCT cana-6325 187 37 the the DET cana-6325 187 38 bolded bolde VERB cana-6325 187 39 value value NOUN cana-6325 187 40 is be AUX cana-6325 187 41 the the DET cana-6325 187 42 best good ADJ cana-6325 187 43 result result NOUN cana-6325 187 44 from from ADP cana-6325 187 45 each each DET cana-6325 187 46 method method NOUN cana-6325 187 47 , , PUNCT cana-6325 187 48 while while SCONJ cana-6325 187 49 the the DET cana-6325 187 50 remaining remain VERB cana-6325 187 51 values value NOUN cana-6325 187 52 are be AUX cana-6325 187 53 the the DET cana-6325 187 54 second second ADJ cana-6325 187 55 best good ADJ cana-6325 187 56 . . PUNCT cana-6325 188 1 fig4 fig4 NOUN cana-6325 188 2 : : PUNCT cana-6325 188 3 performance performance NOUN cana-6325 188 4 of of ADP cana-6325 188 5 clustering clustering ADJ cana-6325 188 6 results result NOUN cana-6325 188 7 in in ADP cana-6325 188 8 recall recall NOUN cana-6325 188 9 . . PUNCT cana-6325 189 1 in in ADP cana-6325 189 2 figure figure NOUN cana-6325 189 3 4 4 NUM cana-6325 189 4 , , PUNCT cana-6325 189 5 we we PRON cana-6325 189 6 can can AUX cana-6325 189 7 observe observe VERB cana-6325 189 8 the the DET cana-6325 189 9 outcomes outcome NOUN cana-6325 189 10 of of ADP cana-6325 189 11 f f NOUN cana-6325 189 12 - - PUNCT cana-6325 189 13 score score NOUN cana-6325 189 14 matching matching NOUN cana-6325 189 15 between between ADP cana-6325 189 16 html html NOUN cana-6325 189 17 text text NOUN cana-6325 189 18 documents document NOUN cana-6325 189 19 and and CCONJ cana-6325 189 20 multidimensional multidimensional ADJ cana-6325 189 21 documents document NOUN cana-6325 189 22 . . PUNCT cana-6325 190 1 it it PRON cana-6325 190 2 demonstrates demonstrate VERB cana-6325 190 3 that that SCONJ cana-6325 190 4 amvcocmh amvcocmh PROPN cana-6325 190 5 outperforms outperform VERB cana-6325 190 6 traditional traditional ADJ cana-6325 190 7 methods method NOUN cana-6325 190 8 when when SCONJ cana-6325 190 9 the the DET cana-6325 190 10 number number NOUN cana-6325 190 11 of of ADP cana-6325 190 12 documents document NOUN cana-6325 190 13 increases increase NOUN cana-6325 190 14 , , PUNCT cana-6325 190 15 and and CCONJ cana-6325 190 16 that that SCONJ cana-6325 190 17 it it PRON cana-6325 190 18 efficiently efficiently ADV cana-6325 190 19 clusters cluster VERB cana-6325 190 20 documents document NOUN cana-6325 190 21 with with ADP cana-6325 190 22 multiple multiple ADJ cana-6325 190 23 attributes attribute NOUN cana-6325 190 24 communications communication NOUN cana-6325 190 25 on on ADP cana-6325 190 26 applied apply VERB cana-6325 190 27 nonlinear nonlinear ADJ cana-6325 190 28 analysis analysis NOUN cana-6325 190 29 issn issn NOUN cana-6325 190 30 : : PUNCT cana-6325 190 31 1074 1074 NUM cana-6325 190 32 - - PUNCT cana-6325 190 33 133x 133x NUM cana-6325 190 34 vol vol NOUN cana-6325 190 35 32 32 NUM cana-6325 190 36 no no NOUN cana-6325 190 37 . . PUNCT cana-6325 191 1 3s 3s NUM cana-6325 191 2 ( ( PUNCT cana-6325 191 3 2025 2025 NUM cana-6325 191 4 ) ) PUNCT cana-6325 191 5 897 897 NUM cana-6325 191 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 191 7 fig5 fig5 PROPN cana-6325 191 8 : : PUNCT cana-6325 191 9 performance performance NOUN cana-6325 191 10 of of ADP cana-6325 191 11 multi multi ADJ cana-6325 191 12 - - ADJ cana-6325 191 13 dimensional dimensional ADJ cana-6325 191 14 clustering clustering ADJ cana-6325 191 15 results result NOUN cana-6325 191 16 in in ADP cana-6325 191 17 f f NOUN cana-6325 191 18 - - PUNCT cana-6325 191 19 score score NOUN cana-6325 191 20 . . PUNCT cana-6325 192 1 figure figure NOUN cana-6325 192 2 5 5 NUM cana-6325 192 3 shows show VERB cana-6325 192 4 how how SCONJ cana-6325 192 5 five five NUM cana-6325 192 6 different different ADJ cana-6325 192 7 clustering clustering ADJ cana-6325 192 8 methods method NOUN cana-6325 192 9 , , PUNCT cana-6325 192 10 with with ADP cana-6325 192 11 a a DET cana-6325 192 12 significant significant ADJ cana-6325 192 13 bias bias NOUN cana-6325 192 14 towards towards ADP cana-6325 192 15 collecting collect VERB cana-6325 192 16 multilabeled multilabeled ADJ cana-6325 192 17 data datum NOUN cana-6325 192 18 , , PUNCT cana-6325 192 19 performed perform VERB cana-6325 192 20 in in ADP cana-6325 192 21 terms term NOUN cana-6325 192 22 of of ADP cana-6325 192 23 accuracy accuracy NOUN cana-6325 192 24 when when SCONJ cana-6325 192 25 applied apply VERB cana-6325 192 26 to to ADP cana-6325 192 27 100 100 NUM cana-6325 192 28 - - SYM cana-6325 192 29 500 500 NUM cana-6325 192 30 html html NOUN cana-6325 192 31 text text NOUN cana-6325 192 32 pages page NOUN cana-6325 192 33 . . PUNCT cana-6325 193 1 fig fig PROPN cana-6325 193 2 6 6 NUM cana-6325 193 3 : : PUNCT cana-6325 193 4 performance performance NOUN cana-6325 193 5 of of ADP cana-6325 193 6 accuracy accuracy NOUN cana-6325 193 7 in in ADP cana-6325 193 8 multi multi ADJ cana-6325 193 9 – – PUNCT cana-6325 193 10 dimensional dimensional ADJ cana-6325 193 11 cluster cluster NOUN cana-6325 193 12 results result NOUN cana-6325 193 13 . . PUNCT cana-6325 194 1 the the DET cana-6325 194 2 results result NOUN cana-6325 194 3 shown show VERB cana-6325 194 4 in in ADP cana-6325 194 5 the the DET cana-6325 194 6 tables table NOUN cana-6325 194 7 and and CCONJ cana-6325 194 8 figures figure NOUN cana-6325 194 9 above above ADV cana-6325 194 10 are be AUX cana-6325 194 11 based base VERB cana-6325 194 12 on on ADP cana-6325 194 13 the the DET cana-6325 194 14 experimental experimental ADJ cana-6325 194 15 setup setup NOUN cana-6325 194 16 of of ADP cana-6325 194 17 the the DET cana-6325 194 18 suggested suggest VERB cana-6325 194 19 method method NOUN cana-6325 194 20 as as ADV cana-6325 194 21 well well ADV cana-6325 194 22 as as ADP cana-6325 194 23 other other ADJ cana-6325 194 24 methods method NOUN cana-6325 194 25 . . PUNCT cana-6325 195 1 when when SCONJ cana-6325 195 2 applied apply VERB cana-6325 195 3 to to ADP cana-6325 195 4 text text NOUN cana-6325 195 5 - - PUNCT cana-6325 195 6 oriented orient VERB cana-6325 195 7 documents document NOUN cana-6325 195 8 containing contain VERB cana-6325 195 9 various various ADJ cana-6325 195 10 domains domain NOUN cana-6325 195 11 , , PUNCT cana-6325 195 12 it it PRON cana-6325 195 13 meets meet VERB cana-6325 195 14 both both CCONJ cana-6325 195 15 the the DET cana-6325 195 16 text text NOUN cana-6325 195 17 data datum NOUN cana-6325 195 18 connected connect VERB cana-6325 195 19 to to ADP cana-6325 195 20 curves curve NOUN cana-6325 195 21 and and CCONJ cana-6325 195 22 the the DET cana-6325 195 23 basic basic ADJ cana-6325 195 24 convergence convergence NOUN cana-6325 195 25 of of ADP cana-6325 195 26 amvcocmh amvcocmh PROPN cana-6325 195 27 . . PUNCT cana-6325 196 1 using use VERB cana-6325 196 2 iterative iterative NOUN cana-6325 196 3 functions function NOUN cana-6325 196 4 to to PART cana-6325 196 5 explore explore VERB cana-6325 196 6 documents document NOUN cana-6325 196 7 , , PUNCT cana-6325 196 8 amvcocmh amvcocmh PROPN cana-6325 196 9 finds find VERB cana-6325 196 10 efficient efficient ADJ cana-6325 196 11 multi multi ADJ cana-6325 196 12 - - ADJ cana-6325 196 13 dimensional dimensional ADJ cana-6325 196 14 clustering clustering ADJ cana-6325 196 15 solutions solution NOUN cana-6325 196 16 with with ADP cana-6325 196 17 fewer few ADJ cana-6325 196 18 iterations iteration NOUN cana-6325 196 19 applied apply VERB cana-6325 196 20 to to ADP cana-6325 196 21 various various ADJ cana-6325 196 22 text text NOUN cana-6325 196 23 - - PUNCT cana-6325 196 24 oriented orient VERB cana-6325 196 25 materials material NOUN cana-6325 196 26 . . PUNCT cana-6325 197 1 time time NOUN cana-6325 197 2 , , PUNCT cana-6325 197 3 accuracy accuracy NOUN cana-6325 197 4 , , PUNCT cana-6325 197 5 precision precision NOUN cana-6325 197 6 , , PUNCT cana-6325 197 7 memory memory NOUN cana-6325 197 8 usage usage NOUN cana-6325 197 9 , , PUNCT cana-6325 197 10 and and CCONJ cana-6325 197 11 cpu cpu VERB cana-6325 197 12 computational computational ADJ cana-6325 197 13 cost cost NOUN cana-6325 197 14 are be AUX cana-6325 197 15 the the DET cana-6325 197 16 metrics metric NOUN cana-6325 197 17 used use VERB cana-6325 197 18 by by ADP cana-6325 197 19 amvcocmh amvcocmh NOUN cana-6325 197 20 to to PART cana-6325 197 21 measure measure VERB cana-6325 197 22 computational computational ADJ cana-6325 197 23 performance performance NOUN cana-6325 197 24 when when SCONJ cana-6325 197 25 processing process VERB cana-6325 197 26 multi multi ADJ cana-6325 197 27 - - ADJ cana-6325 197 28 dimensional dimensional ADJ cana-6325 197 29 documents document NOUN cana-6325 197 30 . . PUNCT cana-6325 198 1 communications communication NOUN cana-6325 198 2 on on ADP cana-6325 198 3 applied apply VERB cana-6325 198 4 nonlinear nonlinear ADJ cana-6325 198 5 analysis analysis NOUN cana-6325 198 6 issn issn NOUN cana-6325 198 7 : : PUNCT cana-6325 198 8 1074 1074 NUM cana-6325 198 9 - - PUNCT cana-6325 198 10 133x 133x NUM cana-6325 198 11 vol vol NOUN cana-6325 198 12 32 32 NUM cana-6325 198 13 no no NOUN cana-6325 198 14 . . PUNCT cana-6325 199 1 3s 3s NUM cana-6325 199 2 ( ( PUNCT cana-6325 199 3 2025 2025 NUM cana-6325 199 4 ) ) PUNCT cana-6325 199 5 898 898 NUM cana-6325 199 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 199 7 6 6 NUM cana-6325 199 8 . . PUNCT cana-6325 199 9 conclusion conclusion NOUN cana-6325 199 10 in in ADP cana-6325 199 11 this this DET cana-6325 199 12 paper paper NOUN cana-6325 199 13 , , PUNCT cana-6325 199 14 a a DET cana-6325 199 15 propose propose ADJ cana-6325 199 16 novel novel ADJ cana-6325 199 17 approach approach NOUN cana-6325 199 18 orthogonal orthogonal NOUN cana-6325 199 19 constrained constrain VERB cana-6325 199 20 meta meta ADJ cana-6325 199 21 heuristic heuristic ADJ cana-6325 199 22 adaptive adaptive ADJ cana-6325 199 23 multi multi ADJ cana-6325 199 24 - - ADJ cana-6325 199 25 view view ADJ cana-6325 199 26 clustering clustering NOUN cana-6325 199 27 ( ( PUNCT cana-6325 199 28 ocmhamvc ocmhamvc NOUN cana-6325 199 29 ) ) PUNCT cana-6325 199 30 to to PART cana-6325 199 31 group group VERB cana-6325 199 32 similar similar ADJ cana-6325 199 33 items item NOUN cana-6325 199 34 using use VERB cana-6325 199 35 multi multi ADJ cana-6325 199 36 - - ADJ cana-6325 199 37 labeled label VERB cana-6325 199 38 dimensional dimensional ADJ cana-6325 199 39 data datum NOUN cana-6325 199 40 . . PUNCT cana-6325 200 1 to to PART cana-6325 200 2 handle handle VERB cana-6325 200 3 the the DET cana-6325 200 4 increasing increase VERB cana-6325 200 5 amount amount NOUN cana-6325 200 6 of of ADP cana-6325 200 7 labeled label VERB cana-6325 200 8 data datum NOUN cana-6325 200 9 , , PUNCT cana-6325 200 10 this this DET cana-6325 200 11 method method NOUN cana-6325 200 12 clusters cluster NOUN cana-6325 200 13 comparable comparable ADJ cana-6325 200 14 label label NOUN cana-6325 200 15 data datum NOUN cana-6325 200 16 relevant relevant ADJ cana-6325 200 17 to to ADP cana-6325 200 18 cluster cluster NOUN cana-6325 200 19 prototypes prototype NOUN cana-6325 200 20 . . PUNCT cana-6325 201 1 comparable comparable ADJ cana-6325 201 2 classes class NOUN cana-6325 201 3 are be AUX cana-6325 201 4 linked link VERB cana-6325 201 5 with with ADP cana-6325 201 6 unaltered unaltered ADJ cana-6325 201 7 , , PUNCT cana-6325 201 8 comparable comparable ADJ cana-6325 201 9 labels label NOUN cana-6325 201 10 and and CCONJ cana-6325 201 11 attribute attribute NOUN cana-6325 201 12 relations relation NOUN cana-6325 201 13 of of ADP cana-6325 201 14 the the DET cana-6325 201 15 cluster cluster NOUN cana-6325 201 16 prototype prototype NOUN cana-6325 201 17 . . PUNCT cana-6325 202 1 the the DET cana-6325 202 2 method method NOUN cana-6325 202 3 uses use VERB cana-6325 202 4 cooperative cooperative ADJ cana-6325 202 5 regularization regularization NOUN cana-6325 202 6 to to PART cana-6325 202 7 explore explore VERB cana-6325 202 8 associative associative ADJ cana-6325 202 9 dimensions dimension NOUN cana-6325 202 10 that that PRON cana-6325 202 11 are be AUX cana-6325 202 12 appealing appeal VERB cana-6325 202 13 from from ADP cana-6325 202 14 multiple multiple ADJ cana-6325 202 15 perspectives perspective NOUN cana-6325 202 16 to to PART cana-6325 202 17 form form VERB cana-6325 202 18 equivalent equivalent ADJ cana-6325 202 19 cluster cluster NOUN cana-6325 202 20 prototypes prototype NOUN cana-6325 202 21 . . PUNCT cana-6325 203 1 it it PRON cana-6325 203 2 groups group NOUN cana-6325 203 3 comparable comparable ADJ cana-6325 203 4 labeled label VERB cana-6325 203 5 sample sample NOUN cana-6325 203 6 data datum NOUN cana-6325 203 7 into into ADP cana-6325 203 8 prototype prototype NOUN cana-6325 203 9 dimensional dimensional ADJ cana-6325 203 10 data datum NOUN cana-6325 203 11 clusters cluster NOUN cana-6325 203 12 and and CCONJ cana-6325 203 13 then then ADV cana-6325 203 14 employs employ VERB cana-6325 203 15 the the DET cana-6325 203 16 optimized optimize VERB cana-6325 203 17 matrix matrix NOUN cana-6325 203 18 factorization factorization NOUN cana-6325 203 19 ( ( PUNCT cana-6325 203 20 omf omf NOUN cana-6325 203 21 ) ) PUNCT cana-6325 203 22 method method NOUN cana-6325 203 23 to to PART cana-6325 203 24 analyze analyze VERB cana-6325 203 25 low low ADJ cana-6325 203 26 - - PUNCT cana-6325 203 27 dimensional dimensional ADJ cana-6325 203 28 data datum NOUN cana-6325 203 29 . . PUNCT cana-6325 204 1 a a DET cana-6325 204 2 comprehensive comprehensive ADJ cana-6325 204 3 performance performance NOUN cana-6325 204 4 evaluation evaluation NOUN cana-6325 204 5 , , PUNCT cana-6325 204 6 comparing compare VERB cana-6325 204 7 it it PRON cana-6325 204 8 with with ADP cana-6325 204 9 state state NOUN cana-6325 204 10 - - PUNCT cana-6325 204 11 of of ADP cana-6325 204 12 - - PUNCT cana-6325 204 13 the the DET cana-6325 204 14 - - PUNCT cana-6325 204 15 art art NOUN cana-6325 204 16 methodologies methodology NOUN cana-6325 204 17 , , PUNCT cana-6325 204 18 is be AUX cana-6325 204 19 presented present VERB cana-6325 204 20 . . PUNCT cana-6325 205 1 the the DET cana-6325 205 2 proposed propose VERB cana-6325 205 3 method method NOUN cana-6325 205 4 is be AUX cana-6325 205 5 applied apply VERB cana-6325 205 6 to to ADP cana-6325 205 7 various various ADJ cana-6325 205 8 real real ADJ cana-6325 205 9 - - PUNCT cana-6325 205 10 time time NOUN cana-6325 205 11 datasets dataset NOUN cana-6325 205 12 . . PUNCT cana-6325 206 1 furthermore furthermore ADV cana-6325 206 2 , , PUNCT cana-6325 206 3 the the DET cana-6325 206 4 performance performance NOUN cana-6325 206 5 of of ADP cana-6325 206 6 multi multi ADJ cana-6325 206 7 - - ADJ cana-6325 206 8 labeled label VERB cana-6325 206 9 dimensions dimension NOUN cana-6325 206 10 is be AUX cana-6325 206 11 compared compare VERB cana-6325 206 12 with with ADP cana-6325 206 13 that that PRON cana-6325 206 14 of of ADP cana-6325 206 15 sampled sample VERB cana-6325 206 16 class class NOUN cana-6325 206 17 - - PUNCT cana-6325 206 18 labeled label VERB cana-6325 206 19 clusters cluster NOUN cana-6325 206 20 with with ADP cana-6325 206 21 border border NOUN cana-6325 206 22 relations relation NOUN cana-6325 206 23 . . PUNCT cana-6325 207 1 there there PRON cana-6325 207 2 is be VERB cana-6325 207 3 an an DET cana-6325 207 4 intention intention NOUN cana-6325 207 5 to to PART cana-6325 207 6 apply apply VERB cana-6325 207 7 advanced advanced ADJ cana-6325 207 8 machine machine NOUN cana-6325 207 9 learning learn VERB cana-6325 207 10 multidimensional multidimensional ADJ cana-6325 207 11 clustering clustering NOUN cana-6325 207 12 to to ADP cana-6325 207 13 different different ADJ cana-6325 207 14 data datum NOUN cana-6325 207 15 stream stream NOUN cana-6325 207 16 environments environment NOUN cana-6325 207 17 to to PART cana-6325 207 18 further far ADV cana-6325 207 19 enhance enhance VERB cana-6325 207 20 the the DET cana-6325 207 21 suggested suggest VERB cana-6325 207 22 technique technique NOUN cana-6325 207 23 . . PUNCT cana-6325 208 1 references reference NOUN cana-6325 208 2 : : PUNCT cana-6325 209 1 1 1 X cana-6325 209 2 . . X cana-6325 209 3 wang wang PROPN cana-6325 210 1 q q PROPN cana-6325 210 2 , , PUNCT cana-6325 210 3 dou dou PROPN cana-6325 210 4 y y PROPN cana-6325 210 5 , , PUNCT cana-6325 210 6 liu liu PROPN cana-6325 210 7 x x PROPN cana-6325 210 8 , , PUNCT cana-6325 210 9 xia xia PROPN cana-6325 210 10 f f PROPN cana-6325 210 11 , , PUNCT cana-6325 210 12 lv lv PROPN cana-6325 210 13 q q PROPN cana-6325 210 14 , , PUNCT cana-6325 210 15 yang yang PROPN cana-6325 210 16 k k PROPN cana-6325 210 17 ( ( PUNCT cana-6325 210 18 2018 2018 NUM cana-6325 210 19 ) ) PUNCT cana-6325 210 20 local local ADJ cana-6325 210 21 kernel kernel NOUN cana-6325 210 22 alignment alignment NOUN cana-6325 210 23 based base VERB cana-6325 210 24 multi multi ADJ cana-6325 210 25 - - ADJ cana-6325 210 26 view view NOUN cana-6325 210 27 clustering clustering NOUN cana-6325 210 28 using use VERB cana-6325 210 29 extreme extreme ADJ cana-6325 210 30 learning learn VERB cana-6325 210 31 machine machine NOUN cana-6325 210 32 . . PUNCT cana-6325 211 1 neurocomputing neurocompute VERB cana-6325 211 2 275:1099–1111 275:1099–1111 NUM cana-6325 211 3 2 2 NUM cana-6325 211 4 . . PUNCT cana-6325 212 1 zhang zhang PROPN cana-6325 212 2 x x PROPN cana-6325 212 3 , , PUNCT cana-6325 212 4 zhao zhao PROPN cana-6325 212 5 l l PROPN cana-6325 212 6 , , PUNCT cana-6325 212 7 zong zong PROPN cana-6325 212 8 l l PROPN cana-6325 212 9 , , PUNCT cana-6325 212 10 liu liu PROPN cana-6325 212 11 x x PROPN cana-6325 212 12 , , PUNCT cana-6325 212 13 yu yu PROPN cana-6325 212 14 h h PROPN cana-6325 212 15 ( ( PUNCT cana-6325 212 16 2014 2014 NUM cana-6325 212 17 ) ) PUNCT cana-6325 212 18 multi multi ADJ cana-6325 212 19 - - ADJ cana-6325 212 20 view view NOUN cana-6325 212 21 clustering clustering NOUN cana-6325 212 22 via via ADP cana-6325 212 23 multi multi ADJ cana-6325 212 24 - - ADJ cana-6325 212 25 manifold manifold ADJ cana-6325 212 26 regularized regularize VERB cana-6325 212 27 nonnegative nonnegative ADJ cana-6325 212 28 matrix matrix NOUN cana-6325 212 29 factorization factorization NOUN cana-6325 212 30 . . PUNCT cana-6325 213 1 in in ADP cana-6325 213 2 : : PUNCT cana-6325 213 3 icdm icdm NOUN cana-6325 213 4 , , PUNCT cana-6325 213 5 pp pp ADP cana-6325 213 6 1103–1108 1103–1108 NUM cana-6325 213 7 3 3 NUM cana-6325 213 8 . . PUNCT cana-6325 214 1 zhang zhang PROPN cana-6325 214 2 x x PROPN cana-6325 214 3 , , PUNCT cana-6325 214 4 gao gao PROPN cana-6325 214 5 h h PROPN cana-6325 214 6 , , PUNCT cana-6325 214 7 li li PROPN cana-6325 214 8 g g PROPN cana-6325 214 9 , , PUNCT cana-6325 214 10 zhao zhao PROPN cana-6325 214 11 j j PROPN cana-6325 214 12 , , PUNCT cana-6325 214 13 huo huo PROPN cana-6325 214 14 j j PROPN cana-6325 214 15 , , PUNCT cana-6325 214 16 yin yin PROPN cana-6325 214 17 j j PROPN cana-6325 214 18 , , PUNCT cana-6325 214 19 liu liu PROPN cana-6325 214 20 y y PROPN cana-6325 214 21 , , PUNCT cana-6325 214 22 zheng zheng PROPN cana-6325 214 23 l l PROPN cana-6325 214 24 ( ( PUNCT cana-6325 214 25 2018 2018 NUM cana-6325 214 26 ) ) PUNCT cana-6325 214 27 multi multi ADJ cana-6325 214 28 - - ADJ cana-6325 214 29 view view ADJ cana-6325 214 30 clustering clustering NOUN cana-6325 214 31 based base VERB cana-6325 214 32 on on ADP cana-6325 214 33 graph graph NOUN cana-6325 214 34 - - PUNCT cana-6325 214 35 regularized regularize VERB cana-6325 214 36 nonnegative nonnegative ADJ cana-6325 214 37 matrix matrix NOUN cana-6325 214 38 factorization factorization NOUN cana-6325 214 39 for for ADP cana-6325 214 40 object object NOUN cana-6325 214 41 recognition recognition NOUN cana-6325 214 42 . . PUNCT cana-6325 215 1 inf inf PROPN cana-6325 215 2 sci sci PROPN cana-6325 215 3 432:463–478 432:463–478 NUM cana-6325 215 4 4 4 NUM cana-6325 215 5 . . PUNCT cana-6325 216 1 c. c. PROPN cana-6325 216 2 xu xu PROPN cana-6325 216 3 , , PUNCT cana-6325 216 4 z. z. PROPN cana-6325 216 5 guan guan PROPN cana-6325 216 6 , , PUNCT cana-6325 216 7 w. w. PROPN cana-6325 216 8 zhao zhao PROPN cana-6325 216 9 , , PUNCT cana-6325 216 10 y. y. PROPN cana-6325 216 11 niu niu PROPN cana-6325 216 12 , , PUNCT cana-6325 216 13 q. q. PROPN cana-6325 216 14 wang wang PROPN cana-6325 216 15 , , PUNCT cana-6325 216 16 z. z. PROPN cana-6325 216 17 wang wang PROPN cana-6325 216 18 , , PUNCT cana-6325 216 19 deep deep ADJ cana-6325 216 20 multi multi ADJ cana-6325 216 21 - - ADJ cana-6325 216 22 view view ADJ cana-6325 216 23 concept concept NOUN cana-6325 216 24 learning learning NOUN cana-6325 216 25 , , PUNCT cana-6325 216 26 in in ADP cana-6325 216 27 : : PUNCT cana-6325 216 28 international international ADJ cana-6325 216 29 joint joint ADJ cana-6325 216 30 conference conference NOUN cana-6325 216 31 on on ADP cana-6325 216 32 artificial artificial ADJ cana-6325 216 33 intelligence intelligence NOUN cana-6325 216 34 , , PUNCT cana-6325 216 35 2018 2018 NUM cana-6325 216 36 , , PUNCT cana-6325 216 37 pp pp ADJ cana-6325 216 38 . . PUNCT cana-6325 217 1 2898–2904 2898–2904 NUM cana-6325 217 2 . . PUNCT cana-6325 218 1 5 5 NUM cana-6325 218 2 . . X cana-6325 218 3 wang wang PROPN cana-6325 218 4 , , PUNCT cana-6325 218 5 z. z. PROPN cana-6325 218 6 , , PUNCT cana-6325 218 7 jin jin PROPN cana-6325 218 8 , , PUNCT cana-6325 218 9 z. z. PROPN cana-6325 218 10 , , PUNCT cana-6325 218 11 yang yang PROPN cana-6325 218 12 , , PUNCT cana-6325 218 13 z. z. PROPN cana-6325 218 14 , , PUNCT cana-6325 218 15 zhao zhao PROPN cana-6325 218 16 , , PUNCT cana-6325 218 17 w. w. PROPN cana-6325 218 18 , , PUNCT cana-6325 218 19 trik trik PROPN cana-6325 218 20 , , PUNCT cana-6325 218 21 m. m. NOUN cana-6325 218 22 , , PUNCT cana-6325 218 23 2023 2023 NUM cana-6325 218 24 . . PUNCT cana-6325 219 1 increasing increase VERB cana-6325 219 2 efficiency efficiency NOUN cana-6325 219 3 for for ADP cana-6325 219 4 routing route VERB cana-6325 219 5 in in ADP cana-6325 219 6 internet internet NOUN cana-6325 219 7 of of ADP cana-6325 219 8 things thing NOUN cana-6325 219 9 using use VERB cana-6325 219 10 binary binary ADJ cana-6325 219 11 gray gray ADJ cana-6325 219 12 wolf wolf PROPN cana-6325 219 13 optimization optimization NOUN cana-6325 219 14 and and CCONJ cana-6325 219 15 fuzzy fuzzy ADJ cana-6325 219 16 logic logic NOUN cana-6325 219 17 . . PUNCT cana-6325 220 1 j. j. PROPN cana-6325 220 2 king king PROPN cana-6325 220 3 saud saud PROPN cana-6325 220 4 univ.-comput univ.-comput PROPN cana-6325 220 5 . . PUNCT cana-6325 221 1 inform inform NOUN cana-6325 221 2 . . PUNCT cana-6325 222 1 sci sci PROPN cana-6325 222 2 . . PROPN cana-6325 222 3 35 35 NUM cana-6325 222 4 ( ( PUNCT cana-6325 222 5 9 9 NUM cana-6325 222 6 ) ) PUNCT cana-6325 222 7 , , PUNCT cana-6325 222 8 101732 101732 NUM cana-6325 222 9 . . PUNCT cana-6325 223 1 6 6 NUM cana-6325 223 2 . . X cana-6325 223 3 zhou zhou PROPN cana-6325 223 4 , , PUNCT cana-6325 223 5 p. p. PROPN cana-6325 223 6 , , PUNCT cana-6325 223 7 zheng zheng PROPN cana-6325 223 8 , , PUNCT cana-6325 223 9 p. p. PROPN cana-6325 223 10 , , PUNCT cana-6325 223 11 qi qi PROPN cana-6325 223 12 , , PUNCT cana-6325 223 13 j. j. PROPN cana-6325 223 14 , , PUNCT cana-6325 223 15 li li PROPN cana-6325 223 16 , , PUNCT cana-6325 223 17 c. c. PROPN cana-6325 223 18 , , PUNCT cana-6325 223 19 lee lee PROPN cana-6325 223 20 , , PUNCT cana-6325 223 21 h. h. PROPN cana-6325 223 22 , , PUNCT cana-6325 223 23 duan duan PROPN cana-6325 223 24 , , PUNCT cana-6325 223 25 a. a. PROPN cana-6325 223 26 , , PUNCT cana-6325 223 27 ... ... PUNCT cana-6325 223 28 navarro navarro PROPN cana-6325 223 29 - - PUNCT cana-6325 223 30 alarcon alarcon PROPN cana-6325 223 31 , , PUNCT cana-6325 223 32 d. d. PROPN cana-6325 223 33 ( ( PUNCT cana-6325 223 34 2024 2024 NUM cana-6325 223 35 ) ) PUNCT cana-6325 223 36 . . PUNCT cana-6325 224 1 reactive reactive ADJ cana-6325 224 2 human human PROPN cana-6325 224 3 – – PUNCT cana-6325 224 4 robot robot NOUN cana-6325 224 5 collaborative collaborative ADJ cana-6325 224 6 manipulation manipulation NOUN cana-6325 224 7 of of ADP cana-6325 224 8 deformable deformable ADJ cana-6325 224 9 linear linear ADJ cana-6325 224 10 objects object NOUN cana-6325 224 11 using use VERB cana-6325 224 12 a a DET cana-6325 224 13 new new ADJ cana-6325 224 14 topological topological ADJ cana-6325 224 15 latent latent PROPN cana-6325 224 16 control control PROPN cana-6325 224 17 model model PROPN cana-6325 224 18 . . PUNCT cana-6325 225 1 robotics robotic NOUN cana-6325 225 2 and and CCONJ cana-6325 225 3 computer computer NOUN cana-6325 225 4 - - PUNCT cana-6325 225 5 integrated integrate VERB cana-6325 225 6 manufacturing manufacturing NOUN cana-6325 225 7 , , PUNCT cana-6325 225 8 88 88 NUM cana-6325 225 9 , , PUNCT cana-6325 225 10 102727 102727 NUM cana-6325 225 11 . . PUNCT cana-6325 226 1 doi doi NOUN cana-6325 226 2 : : PUNCT cana-6325 226 3 doi doi NOUN cana-6325 226 4 : : PUNCT cana-6325 226 5 10.1016 10.1016 NUM cana-6325 226 6 / / SYM cana-6325 226 7 j.rcim.2024.102727 j.rcim.2024.102727 NOUN cana-6325 226 8 . . PUNCT cana-6325 227 1 7 7 X cana-6325 227 2 . . X cana-6325 227 3 liu liu PROPN cana-6325 227 4 , , PUNCT cana-6325 227 5 x. x. PROPN cana-6325 227 6 , , PUNCT cana-6325 227 7 wang wang PROPN cana-6325 227 8 , , PUNCT cana-6325 227 9 s. s. PROPN cana-6325 227 10 , , PUNCT cana-6325 227 11 lu lu PROPN cana-6325 227 12 , , PUNCT cana-6325 227 13 s. s. PROPN cana-6325 227 14 , , PUNCT cana-6325 227 15 yin yin PROPN cana-6325 227 16 , , PUNCT cana-6325 227 17 z. z. PROPN cana-6325 227 18 , , PUNCT cana-6325 227 19 li li PROPN cana-6325 227 20 , , PUNCT cana-6325 227 21 x. x. PROPN cana-6325 227 22 , , PUNCT cana-6325 227 23 yin yin PROPN cana-6325 227 24 , , PUNCT cana-6325 227 25 l. l. PROPN cana-6325 227 26 , , PUNCT cana-6325 227 27 ... ... PUNCT cana-6325 228 1 zheng zheng PROPN cana-6325 228 2 , , PUNCT cana-6325 228 3 w. w. PROPN cana-6325 228 4 ( ( PUNCT cana-6325 228 5 2023 2023 NUM cana-6325 228 6 ) ) PUNCT cana-6325 228 7 . . PUNCT cana-6325 229 1 adapting adapt VERB cana-6325 229 2 feature feature NOUN cana-6325 229 3 selection selection NOUN cana-6325 229 4 algorithms algorithm NOUN cana-6325 229 5 for for ADP cana-6325 229 6 the the DET cana-6325 229 7 classification classification NOUN cana-6325 229 8 of of ADP cana-6325 229 9 chinese chinese ADJ cana-6325 229 10 texts text NOUN cana-6325 229 11 . . PUNCT cana-6325 230 1 systems system NOUN cana-6325 230 2 , , PUNCT cana-6325 230 3 11(9 11(9 PROPN cana-6325 230 4 ) ) PUNCT cana-6325 230 5 , , PUNCT cana-6325 230 6 483 483 NUM cana-6325 230 7 . . PUNCT cana-6325 231 1 doi doi NOUN cana-6325 231 2 : : PUNCT cana-6325 231 3 10.3390 10.3390 NUM cana-6325 231 4 / / SYM cana-6325 231 5 systems11090483 systems11090483 PROPN cana-6325 231 6 . . PUNCT cana-6325 232 1 8 8 NUM cana-6325 232 2 . . X cana-6325 232 3 wang wang PROPN cana-6325 232 4 , , PUNCT cana-6325 232 5 g. g. PROPN cana-6325 232 6 , , PUNCT cana-6325 232 7 wu wu PROPN cana-6325 232 8 , , PUNCT cana-6325 232 9 j. j. PROPN cana-6325 232 10 , , PUNCT cana-6325 232 11 trik trik PROPN cana-6325 232 12 , , PUNCT cana-6325 232 13 m. m. NOUN cana-6325 232 14 , , PUNCT cana-6325 232 15 2023 2023 NUM cana-6325 232 16 . . PUNCT cana-6325 233 1 a a DET cana-6325 233 2 novel novel ADJ cana-6325 233 3 approach approach NOUN cana-6325 233 4 to to PART cana-6325 233 5 reduce reduce VERB cana-6325 233 6 video video NOUN cana-6325 233 7 traffic traffic NOUN cana-6325 233 8 based base VERB cana-6325 233 9 on on ADP cana-6325 233 10 understanding understand VERB cana-6325 233 11 user user NOUN cana-6325 233 12 demand demand NOUN cana-6325 233 13 and and CCONJ cana-6325 233 14 d2d d2d VERB cana-6325 233 15 communication communication NOUN cana-6325 233 16 in in ADP cana-6325 233 17 5 5 NUM cana-6325 233 18 g g NOUN cana-6325 233 19 networks network NOUN cana-6325 233 20 . . PUNCT cana-6325 234 1 iete iete PROPN cana-6325 234 2 j. j. PROPN cana-6325 234 3 res res PROPN cana-6325 234 4 . . PUNCT cana-6325 235 1 1–17 1–17 PROPN cana-6325 235 2 . . PUNCT cana-6325 236 1 9 9 X cana-6325 236 2 . . X cana-6325 236 3 liu liu PROPN cana-6325 236 4 , , PUNCT cana-6325 236 5 h. h. PROPN cana-6325 236 6 , , PUNCT cana-6325 236 7 yuan yuan PROPN cana-6325 236 8 , , PUNCT cana-6325 236 9 h. h. PROPN cana-6325 236 10 , , PUNCT cana-6325 236 11 hou hou PROPN cana-6325 236 12 , , PUNCT cana-6325 236 13 j. j. PROPN cana-6325 236 14 , , PUNCT cana-6325 236 15 hamzaoui hamzaoui PROPN cana-6325 236 16 , , PUNCT cana-6325 236 17 r. r. PROPN cana-6325 236 18 , , PUNCT cana-6325 236 19 gao gao PROPN cana-6325 236 20 , , PUNCT cana-6325 236 21 w. w. PROPN cana-6325 236 22 , , PUNCT cana-6325 236 23 2022 2022 NUM cana-6325 236 24 . . PUNCT cana-6325 237 1 pufa pufa NOUN cana-6325 237 2 - - PUNCT cana-6325 237 3 gan gan PROPN cana-6325 237 4 : : PUNCT cana-6325 237 5 a a DET cana-6325 237 6 frequency frequency NOUN cana-6325 237 7 - - PUNCT cana-6325 237 8 aware aware ADJ cana-6325 237 9 generative generative ADJ cana-6325 237 10 adversarial adversarial ADJ cana-6325 237 11 network network NOUN cana-6325 237 12 for for ADP cana-6325 237 13 3d 3d PROPN cana-6325 237 14 point point NOUN cana-6325 237 15 cloud cloud PROPN cana-6325 237 16 upsampling upsampling NOUN cana-6325 237 17 . . PUNCT cana-6325 238 1 ieee ieee PROPN cana-6325 238 2 trans trans PROPN cana-6325 238 3 . . PUNCT cana-6325 238 4 image image NOUN cana-6325 238 5 process process NOUN cana-6325 238 6 . . PUNCT cana-6325 239 1 31 31 NUM cana-6325 239 2 , , PUNCT cana-6325 239 3 7389–7402 7389–7402 NUM cana-6325 239 4 . . PUNCT cana-6325 239 5 https://doi.org/10.1109/tip.2022.3222918 https://doi.org/10.1109/tip.2022.3222918 NOUN cana-6325 239 6 . . PUNCT cana-6325 240 1 10 10 NUM cana-6325 240 2 . . X cana-6325 241 1 zhou zhou PROPN cana-6325 241 2 , , PUNCT cana-6325 241 3 g. g. PROPN cana-6325 241 4 , , PUNCT cana-6325 241 5 li li PROPN cana-6325 241 6 , , PUNCT cana-6325 241 7 h. h. PROPN cana-6325 241 8 , , PUNCT cana-6325 241 9 song song PROPN cana-6325 241 10 , , PUNCT cana-6325 241 11 r. r. PROPN cana-6325 241 12 , , PUNCT cana-6325 241 13 wang wang PROPN cana-6325 241 14 , , PUNCT cana-6325 241 15 q. q. PROPN cana-6325 241 16 , , PUNCT cana-6325 241 17 xu xu PROPN cana-6325 241 18 , , PUNCT cana-6325 241 19 j. j. PROPN cana-6325 241 20 , , PUNCT cana-6325 241 21 ... ... PUNCT cana-6325 241 22 song song PROPN cana-6325 241 23 , , PUNCT cana-6325 241 24 b. b. PROPN cana-6325 241 25 ( ( PUNCT cana-6325 241 26 2022 2022 NUM cana-6325 241 27 ) ) PUNCT cana-6325 241 28 . . PUNCT cana-6325 242 1 orthorectification orthorectification NOUN cana-6325 242 2 of of ADP cana-6325 242 3 fisheye fisheye ADJ cana-6325 242 4 image image NOUN cana-6325 242 5 under under ADP cana-6325 242 6 equidistant equidistant ADJ cana-6325 242 7 projection projection NOUN cana-6325 242 8 model model NOUN cana-6325 242 9 . . PUNCT cana-6325 243 1 remote remote ADJ cana-6325 243 2 sensing sensing NOUN cana-6325 243 3 , , PUNCT cana-6325 243 4 14(17 14(17 NUM cana-6325 243 5 ) ) PUNCT cana-6325 243 6 , , PUNCT cana-6325 243 7 4175 4175 NUM cana-6325 243 8 . . PUNCT cana-6325 244 1 doi doi NOUN cana-6325 244 2 : : PUNCT cana-6325 244 3 10.3390 10.3390 NUM cana-6325 244 4 / / SYM cana-6325 244 5 rs14174175 rs14174175 NOUN cana-6325 244 6 . . PUNCT cana-6325 245 1 11 11 NUM cana-6325 245 2 . . PUNCT cana-6325 246 1 fakhri fakhri PROPN cana-6325 246 2 , , PUNCT cana-6325 246 3 p.s p.s PROPN cana-6325 246 4 . . PROPN cana-6325 246 5 , , PUNCT cana-6325 246 6 asghari asghari ADV cana-6325 246 7 , , PUNCT cana-6325 246 8 o. o. PROPN cana-6325 246 9 , , PUNCT cana-6325 246 10 sarspy sarspy PROPN cana-6325 246 11 , , PUNCT cana-6325 246 12 s. s. PROPN cana-6325 246 13 , , PUNCT cana-6325 246 14 marand marand PROPN cana-6325 246 15 , , PUNCT cana-6325 246 16 m.b m.b PROPN cana-6325 246 17 . . PROPN cana-6325 246 18 , , PUNCT cana-6325 246 19 moshaver moshaver PROPN cana-6325 246 20 , , PUNCT cana-6325 246 21 p. p. PROPN cana-6325 246 22 , , PUNCT cana-6325 246 23 trik trik PROPN cana-6325 246 24 , , PUNCT cana-6325 246 25 m. m. NOUN cana-6325 246 26 , , PUNCT cana-6325 246 27 2023 2023 NUM cana-6325 246 28 . . PUNCT cana-6325 247 1 a a DET cana-6325 247 2 fuzzy fuzzy ADJ cana-6325 247 3 decisionmaking decisionmake VERB cana-6325 247 4 system system NOUN cana-6325 247 5 for for ADP cana-6325 247 6 video video NOUN cana-6325 247 7 tracking tracking NOUN cana-6325 247 8 with with ADP cana-6325 247 9 multiple multiple ADJ cana-6325 247 10 objects object NOUN cana-6325 247 11 in in ADP cana-6325 247 12 non non ADJ cana-6325 247 13 - - ADJ cana-6325 247 14 stationary stationary ADJ cana-6325 247 15 conditions condition NOUN cana-6325 247 16 . . PUNCT cana-6325 248 1 heliyon heliyon NOUN cana-6325 248 2 9 9 NUM cana-6325 248 3 ( ( PUNCT cana-6325 248 4 11 11 NUM cana-6325 248 5 ) ) PUNCT cana-6325 248 6 . . PUNCT cana-6325 249 1 communications communication NOUN cana-6325 249 2 on on ADP cana-6325 249 3 applied apply VERB cana-6325 249 4 nonlinear nonlinear ADJ cana-6325 249 5 analysis analysis NOUN cana-6325 249 6 issn issn NOUN cana-6325 249 7 : : PUNCT cana-6325 249 8 1074 1074 NUM cana-6325 249 9 - - PUNCT cana-6325 249 10 133x 133x NUM cana-6325 249 11 vol vol NOUN cana-6325 249 12 32 32 NUM cana-6325 249 13 no no NOUN cana-6325 249 14 . . PUNCT cana-6325 250 1 3s 3s NUM cana-6325 250 2 ( ( PUNCT cana-6325 250 3 2025 2025 NUM cana-6325 250 4 ) ) PUNCT cana-6325 250 5 899 899 NUM cana-6325 250 6 https://internationalpubls.com https://internationalpubls.com X cana-6325 250 7 12 12 NUM cana-6325 250 8 . . PUNCT cana-6325 251 1 xu xu INTJ cana-6325 251 2 , , PUNCT cana-6325 251 3 y. y. PROPN cana-6325 251 4 , , PUNCT cana-6325 251 5 wang wang PROPN cana-6325 251 6 , , PUNCT cana-6325 251 7 e. e. PROPN cana-6325 251 8 , , PUNCT cana-6325 251 9 yang yang PROPN cana-6325 251 10 , , PUNCT cana-6325 251 11 y. y. PROPN cana-6325 251 12 , , PUNCT cana-6325 251 13 chang chang PROPN cana-6325 251 14 , , PUNCT cana-6325 251 15 y. y. PROPN cana-6325 251 16 , , PUNCT cana-6325 251 17 2022 2022 NUM cana-6325 251 18 . . PUNCT cana-6325 252 1 a a DET cana-6325 252 2 unified unified ADJ cana-6325 252 3 collaborative collaborative ADJ cana-6325 252 4 representation representation NOUN cana-6325 252 5 learning learn VERB cana-6325 252 6 for for ADP cana-6325 252 7 neural neural ADJ cana-6325 252 8 - - PUNCT cana-6325 252 9 network network NOUN cana-6325 252 10 based base VERB cana-6325 252 11 recommender recommender NOUN cana-6325 252 12 systems system NOUN cana-6325 252 13 . . PUNCT cana-6325 253 1 ieee ieee PROPN cana-6325 253 2 trans trans PROPN cana-6325 253 3 . . PROPN cana-6325 254 1 knowl knowl PROPN cana-6325 254 2 . . PUNCT cana-6325 255 1 data data PROPN cana-6325 255 2 eng eng PROPN cana-6325 255 3 . . PROPN cana-6325 256 1 34 34 NUM cana-6325 256 2 ( ( PUNCT cana-6325 256 3 11 11 NUM cana-6325 256 4 ) ) PUNCT cana-6325 256 5 , , PUNCT cana-6325 256 6 5126–5139 5126–5139 NUM cana-6325 256 7 . . PUNCT cana-6325 257 1 https://doi.org/10.1109/tkde.2021.3054782 https://doi.org/10.1109/tkde.2021.3054782 PROPN cana-6325 257 2 . . PUNCT cana-6325 258 1 13 13 NUM cana-6325 258 2 . . PUNCT cana-6325 259 1 huang huang PROPN cana-6325 259 2 , , PUNCT cana-6325 259 3 f. f. PROPN cana-6325 259 4 , , PUNCT cana-6325 259 5 wang wang PROPN cana-6325 259 6 , , PUNCT cana-6325 259 7 z. z. PROPN cana-6325 259 8 , , PUNCT cana-6325 259 9 huang huang PROPN cana-6325 259 10 , , PUNCT cana-6325 259 11 x. x. PROPN cana-6325 259 12 , , PUNCT cana-6325 259 13 qian qian PROPN cana-6325 259 14 , , PUNCT cana-6325 259 15 y. y. PROPN cana-6325 259 16 , , PUNCT cana-6325 259 17 li li PROPN cana-6325 259 18 , , PUNCT cana-6325 259 19 z. z. PROPN cana-6325 259 20 , , PUNCT cana-6325 259 21 ... ... PUNCT cana-6325 260 1 chen chen PROPN cana-6325 260 2 , , PUNCT cana-6325 260 3 h. h. PROPN cana-6325 260 4 ( ( PUNCT cana-6325 260 5 2023 2023 NUM cana-6325 260 6 ) ) PUNCT cana-6325 260 7 . . PUNCT cana-6325 261 1 aligning align VERB cana-6325 261 2 distillation distillation NOUN cana-6325 261 3 for for ADP cana-6325 261 4 coldstart coldstart ADJ cana-6325 261 5 item item NOUN cana-6325 261 6 recommendation recommendation NOUN cana-6325 261 7 . . PUNCT cana-6325 262 1 paper paper NOUN cana-6325 262 2 presented present VERB cana-6325 262 3 at at ADP cana-6325 262 4 the the DET cana-6325 262 5 sigir sigir NOUN cana-6325 262 6 ’ ' PUNCT cana-6325 262 7 23 23 NUM cana-6325 262 8 , , PUNCT cana-6325 262 9 new new PROPN cana-6325 262 10 york york PROPN cana-6325 262 11 , , PUNCT cana-6325 262 12 ny ny PROPN cana-6325 262 13 , , PUNCT cana-6325 262 14 usafrom usafrom NOUN cana-6325 262 15 doi doi NOUN cana-6325 262 16 : : PUNCT cana-6325 262 17 10.1145/3539618.3591732 10.1145/3539618.3591732 NUM cana-6325 262 18 . . X cana-6325 263 1 14 14 NUM cana-6325 263 2 . . PUNCT cana-6325 264 1 qi qi PROPN cana-6325 264 2 , , PUNCT cana-6325 264 3 h. h. PROPN cana-6325 264 4 , , PUNCT cana-6325 264 5 zhou zhou PROPN cana-6325 264 6 , , PUNCT cana-6325 264 7 z. z. PROPN cana-6325 264 8 , , PUNCT cana-6325 264 9 irizarry irizarry NOUN cana-6325 264 10 , , PUNCT cana-6325 264 11 j. j. PROPN cana-6325 264 12 , , PUNCT cana-6325 264 13 lin lin PROPN cana-6325 264 14 , , PUNCT cana-6325 264 15 d. d. PROPN cana-6325 264 16 , , PUNCT cana-6325 264 17 zhang zhang PROPN cana-6325 264 18 , , PUNCT cana-6325 264 19 h. h. PROPN cana-6325 264 20 , , PUNCT cana-6325 264 21 li li PROPN cana-6325 264 22 , , PUNCT cana-6325 264 23 n. n. PROPN cana-6325 264 24 , , PUNCT cana-6325 264 25 ... ... PUNCT cana-6325 264 26 cui cui PROPN cana-6325 264 27 , , PUNCT cana-6325 264 28 j. j. PROPN cana-6325 264 29 ( ( PUNCT cana-6325 264 30 2024 2024 NUM cana-6325 264 31 ) ) PUNCT cana-6325 264 32 . . PUNCT cana-6325 265 1 automatic automatic ADJ cana-6325 265 2 identification identification NOUN cana-6325 265 3 of of ADP cana-6325 265 4 causal causal ADJ cana-6325 265 5 factors factor NOUN cana-6325 265 6 from from ADP cana-6325 265 7 fall fall NOUN cana-6325 265 8 - - PUNCT cana-6325 265 9 related relate VERB cana-6325 265 10 accident accident NOUN cana-6325 265 11 investigation investigation NOUN cana-6325 265 12 reports report VERB cana-6325 265 13 using use VERB cana-6325 265 14 machine machine NOUN cana-6325 265 15 learning learning NOUN cana-6325 265 16 and and CCONJ cana-6325 265 17 ensemble ensemble ADJ cana-6325 265 18 learning learning NOUN cana-6325 265 19 approaches approach NOUN cana-6325 265 20 . . PUNCT cana-6325 266 1 journal journal NOUN cana-6325 266 2 of of ADP cana-6325 266 3 management management NOUN cana-6325 266 4 in in ADP cana-6325 266 5 engineering engineering NOUN cana-6325 266 6 , , PUNCT cana-6325 266 7 40(1 40(1 NUM cana-6325 266 8 ) ) PUNCT cana-6325 266 9 . . PUNCT cana-6325 267 1 doi doi NOUN cana-6325 267 2 : : PUNCT cana-6325 267 3 doi doi NOUN cana-6325 267 4 : : PUNCT cana-6325 267 5 10.1061 10.1061 NUM cana-6325 267 6 / / SYM cana-6325 267 7 jmenea.meeng-5485 jmenea.meeng-5485 PROPN cana-6325 267 8 . . PUNCT cana-6325 268 1 15 15 NUM cana-6325 268 2 . . X cana-6325 269 1 trigeorgis trigeorgis PROPN cana-6325 269 2 , , PUNCT cana-6325 269 3 k. k. PROPN cana-6325 269 4 bousmalis bousmalis PROPN cana-6325 269 5 , , PUNCT cana-6325 269 6 s. s. PROPN cana-6325 269 7 zafeiriou zafeiriou PROPN cana-6325 269 8 , , PUNCT cana-6325 269 9 and and CCONJ cana-6325 269 10 b. b. PROPN cana-6325 269 11 w. w. PROPN cana-6325 269 12 schuller schuller PROPN cana-6325 269 13 , , PUNCT cana-6325 269 14 β€œ " PUNCT cana-6325 269 15 a a DET cana-6325 269 16 deep deep ADJ cana-6325 269 17 matrix matrix NOUN cana-6325 269 18 factorization factorization NOUN cana-6325 269 19 method method NOUN cana-6325 269 20 for for ADP cana-6325 269 21 learning learn VERB cana-6325 269 22 attribute attribute NOUN cana-6325 269 23 representations representation NOUN cana-6325 269 24 , , PUNCT cana-6325 269 25 ” " PUNCT cana-6325 269 26 ieee ieee NOUN cana-6325 269 27 transactions transaction NOUN cana-6325 269 28 on on ADP cana-6325 269 29 pattern pattern NOUN cana-6325 269 30 analysis analysis NOUN cana-6325 269 31 and and CCONJ cana-6325 269 32 machine machine NOUN cana-6325 269 33 intelligence intelligence NOUN cana-6325 269 34 , , PUNCT cana-6325 269 35 vol vol NOUN cana-6325 269 36 . . PROPN cana-6325 269 37 39 39 NUM cana-6325 269 38 , , PUNCT cana-6325 269 39 no no INTJ cana-6325 269 40 . . NOUN cana-6325 269 41 3 3 NUM cana-6325 269 42 , , PUNCT cana-6325 269 43 pp pp ADJ cana-6325 269 44 . . PUNCT cana-6325 270 1 417–429 417–429 NUM cana-6325 270 2 , , PUNCT cana-6325 270 3 2016 2016 NUM cana-6325 270 4 . . PUNCT cana-6325 271 1 16 16 NUM cana-6325 271 2 . . PUNCT cana-6325 272 1 zhao zhao PROPN cana-6325 272 2 , , PUNCT cana-6325 272 3 h. h. PROPN cana-6325 272 4 wang wang PROPN cana-6325 272 5 , , PUNCT cana-6325 272 6 and and CCONJ cana-6325 272 7 j. j. PROPN cana-6325 272 8 pei pei PROPN cana-6325 272 9 , , PUNCT cana-6325 272 10 β€œ " PUNCT cana-6325 272 11 deep deep ADJ cana-6325 272 12 non non ADJ cana-6325 272 13 - - ADJ cana-6325 272 14 negative negative ADJ cana-6325 272 15 matrix matrix NOUN cana-6325 272 16 factorization factorization NOUN cana-6325 272 17 architecture architecture NOUN cana-6325 272 18 based base VERB cana-6325 272 19 on on ADP cana-6325 272 20 underlying underlie VERB cana-6325 272 21 basis basis NOUN cana-6325 272 22 images image NOUN cana-6325 272 23 learning learn VERB cana-6325 272 24 , , PUNCT cana-6325 272 25 ” " PUNCT cana-6325 272 26 ieee ieee NOUN cana-6325 272 27 transactions transaction NOUN cana-6325 272 28 on on ADP cana-6325 272 29 pattern pattern NOUN cana-6325 272 30 analysis analysis NOUN cana-6325 272 31 and and CCONJ cana-6325 272 32 machine machine NOUN cana-6325 272 33 intelligence intelligence NOUN cana-6325 272 34 , , PUNCT cana-6325 272 35 vol vol NOUN cana-6325 272 36 . . PROPN cana-6325 273 1 43 43 NUM cana-6325 273 2 , , PUNCT cana-6325 273 3 no no INTJ cana-6325 273 4 . . NOUN cana-6325 273 5 6 6 NUM cana-6325 273 6 , , PUNCT cana-6325 273 7 pp pp ADJ cana-6325 273 8 . . PUNCT cana-6325 273 9 1897–1913 1897–1913 NUM cana-6325 273 10 , , PUNCT cana-6325 273 11 2021 2021 NUM cana-6325 273 12 . . PUNCT cana-6325 274 1 17 17 NUM cana-6325 274 2 . . PUNCT cana-6325 274 3 r. r. PROPN cana-6325 274 4 zhang zhang PROPN cana-6325 274 5 , , PUNCT cana-6325 274 6 f. f. PROPN cana-6325 274 7 nie nie PROPN cana-6325 274 8 , , PUNCT cana-6325 274 9 x. x. PROPN cana-6325 274 10 li li PROPN cana-6325 274 11 , , PUNCT cana-6325 274 12 and and CCONJ cana-6325 274 13 x. x. PROPN cana-6325 274 14 wei wei PROPN cana-6325 274 15 , , PUNCT cana-6325 274 16 β€œ " PUNCT cana-6325 274 17 feature feature NOUN cana-6325 274 18 selection selection NOUN cana-6325 274 19 with with ADP cana-6325 274 20 multi multi ADJ cana-6325 274 21 - - ADJ cana-6325 274 22 view view ADJ cana-6325 274 23 data datum NOUN cana-6325 274 24 : : PUNCT cana-6325 274 25 a a DET cana-6325 274 26 survey survey NOUN cana-6325 274 27 , , PUNCT cana-6325 274 28 ” " PUNCT cana-6325 274 29 information information NOUN cana-6325 274 30 fusion fusion NOUN cana-6325 274 31 , , PUNCT cana-6325 274 32 vol vol NOUN cana-6325 274 33 . . PROPN cana-6325 274 34 50 50 NUM cana-6325 274 35 , , PUNCT cana-6325 274 36 pp pp ADJ cana-6325 274 37 . . PUNCT cana-6325 275 1 158–167 158–167 NUM cana-6325 275 2 , , PUNCT cana-6325 275 3 2019 2019 NUM cana-6325 275 4 . . PUNCT cana-6325 276 1 18 18 NUM cana-6325 276 2 . . PUNCT cana-6325 277 1 d.a d.a PROPN cana-6325 277 2 . . PROPN cana-6325 277 3 spielman spielman PROPN cana-6325 277 4 , , PUNCT cana-6325 277 5 spectral spectral ADJ cana-6325 277 6 graph graph NOUN cana-6325 277 7 theory theory NOUN cana-6325 277 8 and and CCONJ cana-6325 277 9 its its PRON cana-6325 277 10 applications application NOUN cana-6325 277 11 , , PUNCT cana-6325 277 12 found find VERB cana-6325 277 13 . . PUNCT cana-6325 278 1 comput comput NOUN cana-6325 278 2 . . PUNCT cana-6325 279 1 sci sci PROPN cana-6325 279 2 . . PUNCT cana-6325 280 1 ( ( PUNCT cana-6325 280 2 2007 2007 NUM cana-6325 280 3 ) ) PUNCT cana-6325 280 4 2938 2938 NUM cana-6325 280 5 . . PUNCT cana-6325 281 1 19 19 NUM cana-6325 281 2 . . X cana-6325 281 3 d. d. PROPN cana-6325 281 4 hidru hidru PROPN cana-6325 281 5 , , PUNCT cana-6325 281 6 a. a. PROPN cana-6325 281 7 goldenberg goldenberg PROPN cana-6325 281 8 , , PUNCT cana-6325 281 9 equinmf equinmf PROPN cana-6325 281 10 : : PUNCT cana-6325 281 11 graph graph NOUN cana-6325 281 12 regularized regularize VERB cana-6325 281 13 multiview multiview NOUN cana-6325 281 14 nonnegative nonnegative ADJ cana-6325 281 15 matrix matrix NOUN cana-6325 281 16 factorization factorization NOUN cana-6325 281 17 , , PUNCT cana-6325 281 18 comput comput NOUN cana-6325 281 19 . . PUNCT cana-6325 282 1 sci sci PROPN cana-6325 282 2 . . PUNCT cana-6325 283 1 ( ( PUNCT cana-6325 283 2 2014 2014 NUM cana-6325 283 3 ) ) PUNCT cana-6325 283 4 . . PUNCT cana-6325 284 1 20 20 NUM cana-6325 284 2 . . PUNCT cana-6325 285 1 srinivas srinivas PROPN cana-6325 285 2 kolli kolli PROPN cana-6325 285 3 , , PUNCT cana-6325 285 4 a.v a.v PROPN cana-6325 285 5 . . PROPN cana-6325 285 6 praveen praveen PROPN cana-6325 285 7 krishna krishna PROPN cana-6325 285 8 , , PUNCT cana-6325 285 9 m. m. NOUN cana-6325 285 10 sreedevi sreedevi PROPN cana-6325 285 11 , , PUNCT cana-6325 285 12 a a DET cana-6325 285 13 meta meta ADJ cana-6325 285 14 heuristic heuristic ADJ cana-6325 285 15 multi multi ADJ cana-6325 285 16 - - ADJ cana-6325 285 17 view view ADJ cana-6325 285 18 data datum NOUN cana-6325 285 19 analysis analysis NOUN cana-6325 285 20 over over ADP cana-6325 285 21 unconditional unconditional ADJ cana-6325 285 22 labeled label VERB cana-6325 285 23 material material NOUN cana-6325 285 24 : : PUNCT cana-6325 285 25 an an DET cana-6325 285 26 intelligence intelligence NOUN cana-6325 285 27 ocmhamcv ocmhamcv NOUN cana-6325 285 28 , , PUNCT cana-6325 285 29 scalable scalable ADJ cana-6325 285 30 computing computing NOUN cana-6325 285 31 : : PUNCT cana-6325 285 32 practice practice NOUN cana-6325 285 33 and and CCONJ cana-6325 285 34 experience experience NOUN cana-6325 285 35 , , PUNCT cana-6325 285 36 issn issn PROPN cana-6325 285 37 1895 1895 NUM cana-6325 285 38 - - SYM cana-6325 285 39 1767 1767 NUM cana-6325 285 40 , , PUNCT cana-6325 285 41 volume volume NOUN cana-6325 285 42 23 23 NUM cana-6325 285 43 , , PUNCT cana-6325 285 44 issues issue NOUN cana-6325 285 45 4 4 NUM cana-6325 285 46 , , PUNCT cana-6325 285 47 pp pp ADJ cana-6325 285 48 . . PUNCT cana-6325 286 1 275–289 275–289 NUM cana-6325 286 2 . . PUNCT