id sid tid token lemma pos ajst-10984 1 1 academic academic ADJ ajst-10984 1 2 journal journal NOUN ajst-10984 1 3 of of ADP ajst-10984 1 4 science science NOUN ajst-10984 1 5 and and CCONJ ajst-10984 1 6 technology technology NOUN ajst-10984 1 7 issn issn NOUN ajst-10984 1 8 : : PUNCT ajst-10984 1 9 2771 2771 NUM ajst-10984 1 10 - - SYM ajst-10984 1 11 3032 3032 NUM ajst-10984 1 12 | | NOUN ajst-10984 1 13 vol vol NOUN ajst-10984 1 14 . . PROPN ajst-10984 2 1 7 7 NUM ajst-10984 2 2 , , PUNCT ajst-10984 2 3 no no INTJ ajst-10984 2 4 . . NOUN ajst-10984 2 5 1 1 NUM ajst-10984 2 6 , , PUNCT ajst-10984 2 7 2023 2023 NUM ajst-10984 2 8 31 31 NUM ajst-10984 2 9 study study NOUN ajst-10984 2 10 of of ADP ajst-10984 2 11 ancient ancient ADJ ajst-10984 2 12 glass glass NOUN ajst-10984 2 13 classification classification NOUN ajst-10984 2 14 and and CCONJ ajst-10984 2 15 subclassification subclassification NOUN ajst-10984 2 16 based base VERB ajst-10984 2 17 on on ADP ajst-10984 2 18 systematic systematic ADJ ajst-10984 2 19 clustering clustering NOUN ajst-10984 2 20 models model NOUN ajst-10984 2 21 jun jun PROPN ajst-10984 2 22 luo1 luo1 PROPN ajst-10984 2 23 , , PUNCT ajst-10984 2 24 # # X ajst-10984 2 25 , , PUNCT ajst-10984 2 26 * * PUNCT ajst-10984 2 27 , , PUNCT ajst-10984 2 28 peiyuan peiyuan PROPN ajst-10984 2 29 jiao2 jiao2 PROPN ajst-10984 2 30 , , PUNCT ajst-10984 2 31 # # PROPN ajst-10984 2 32 , , PUNCT ajst-10984 2 33 keyan keyan PROPN ajst-10984 2 34 zeng3 zeng3 PROPN ajst-10984 2 35 , , PUNCT ajst-10984 2 36 # # PROPN ajst-10984 2 37 , , PUNCT ajst-10984 2 38 yixin yixin PROPN ajst-10984 2 39 zhang4 zhang4 PROPN ajst-10984 2 40 , , PUNCT ajst-10984 2 41 # # NOUN ajst-10984 2 42 1school 1school NUM ajst-10984 2 43 of of ADP ajst-10984 2 44 water water NOUN ajst-10984 2 45 conservancy conservancy NOUN ajst-10984 2 46 and and CCONJ ajst-10984 2 47 civil civil ADJ ajst-10984 2 48 engineering engineering NOUN ajst-10984 2 49 , , PUNCT ajst-10984 2 50 zhengzhou zhengzhou PROPN ajst-10984 2 51 university university PROPN ajst-10984 2 52 , , PUNCT ajst-10984 2 53 henan henan PROPN ajst-10984 2 54 , , PUNCT ajst-10984 2 55 zhengzhou zhengzhou PROPN ajst-10984 2 56 , , PUNCT ajst-10984 2 57 450000 450000 NUM ajst-10984 2 58 , , PUNCT ajst-10984 2 59 china china PROPN ajst-10984 2 60 2college 2college PROPN ajst-10984 2 61 of of ADP ajst-10984 2 62 mechanical mechanical ADJ ajst-10984 2 63 and and CCONJ ajst-10984 2 64 power power NOUN ajst-10984 2 65 engineering engineering NOUN ajst-10984 2 66 , , PUNCT ajst-10984 2 67 zhengzhou zhengzhou PROPN ajst-10984 2 68 university university PROPN ajst-10984 2 69 , , PUNCT ajst-10984 2 70 henan henan PROPN ajst-10984 2 71 , , PUNCT ajst-10984 2 72 zhengzhou zhengzhou PROPN ajst-10984 2 73 , , PUNCT ajst-10984 2 74 450000 450000 NUM ajst-10984 2 75 , , PUNCT ajst-10984 2 76 china china PROPN ajst-10984 2 77 3school 3school NUM ajst-10984 2 78 of of ADP ajst-10984 2 79 management management NOUN ajst-10984 2 80 , , PUNCT ajst-10984 2 81 zhengzhou zhengzhou PROPN ajst-10984 2 82 university university PROPN ajst-10984 2 83 , , PUNCT ajst-10984 2 84 henan henan PROPN ajst-10984 2 85 , , PUNCT ajst-10984 2 86 zhengzhou zhengzhou PROPN ajst-10984 2 87 , , PUNCT ajst-10984 2 88 450000 450000 NUM ajst-10984 2 89 , , PUNCT ajst-10984 2 90 china china PROPN ajst-10984 2 91 4school 4school NUM ajst-10984 2 92 of of ADP ajst-10984 2 93 water water NOUN ajst-10984 2 94 conservancy conservancy NOUN ajst-10984 2 95 and and CCONJ ajst-10984 2 96 civil civil ADJ ajst-10984 2 97 engineering engineering NOUN ajst-10984 2 98 , , PUNCT ajst-10984 2 99 zhengzhou zhengzhou PROPN ajst-10984 2 100 university university PROPN ajst-10984 2 101 , , PUNCT ajst-10984 2 102 henan henan PROPN ajst-10984 2 103 , , PUNCT ajst-10984 2 104 zhengzhou zhengzhou PROPN ajst-10984 2 105 , , PUNCT ajst-10984 2 106 450000 450000 NUM ajst-10984 2 107 , , PUNCT ajst-10984 2 108 china china PROPN ajst-10984 2 109 * * PUNCT ajst-10984 2 110 corresponding correspond VERB ajst-10984 2 111 author author NOUN ajst-10984 2 112 : : PUNCT ajst-10984 2 113 lj0204062023@163.com lj0204062023@163.com X ajst-10984 3 1 # # SCONJ ajst-10984 3 2 these these DET ajst-10984 3 3 authors author NOUN ajst-10984 3 4 contributed contribute VERB ajst-10984 3 5 equally equally ADV ajst-10984 3 6 . . PUNCT ajst-10984 4 1 abstract abstract ADJ ajst-10984 4 2 : : PUNCT ajst-10984 4 3 ancient ancient ADJ ajst-10984 4 4 glass glass NOUN ajst-10984 4 5 is be AUX ajst-10984 4 6 highly highly ADV ajst-10984 4 7 susceptible susceptible ADJ ajst-10984 4 8 to to ADP ajst-10984 4 9 weathering weather VERB ajst-10984 4 10 by by ADP ajst-10984 4 11 environmental environmental ADJ ajst-10984 4 12 influences influence NOUN ajst-10984 4 13 , , PUNCT ajst-10984 4 14 resulting result VERB ajst-10984 4 15 in in ADP ajst-10984 4 16 changes change NOUN ajst-10984 4 17 to to ADP ajst-10984 4 18 its its PRON ajst-10984 4 19 internal internal ADJ ajst-10984 4 20 chemical chemical NOUN ajst-10984 4 21 composition composition NOUN ajst-10984 4 22 , , PUNCT ajst-10984 4 23 which which PRON ajst-10984 4 24 can can AUX ajst-10984 4 25 affect affect VERB ajst-10984 4 26 the the DET ajst-10984 4 27 correct correct ADJ ajst-10984 4 28 determination determination NOUN ajst-10984 4 29 of of ADP ajst-10984 4 30 its its PRON ajst-10984 4 31 category category NOUN ajst-10984 4 32 . . PUNCT ajst-10984 5 1 for for ADP ajst-10984 5 2 the the DET ajst-10984 5 3 purpose purpose NOUN ajst-10984 5 4 of of ADP ajst-10984 5 5 classifying classify VERB ajst-10984 5 6 ancient ancient ADJ ajst-10984 5 7 glass glass NOUN ajst-10984 5 8 , , PUNCT ajst-10984 5 9 three three NUM ajst-10984 5 10 indicators indicator NOUN ajst-10984 5 11 of of ADP ajst-10984 5 12 classification classification NOUN ajst-10984 5 13 were be AUX ajst-10984 5 14 chosen choose VERB ajst-10984 5 15 based base VERB ajst-10984 5 16 on on ADP ajst-10984 5 17 the the DET ajst-10984 5 18 magnitude magnitude NOUN ajst-10984 5 19 of of ADP ajst-10984 5 20 the the DET ajst-10984 5 21 mean mean ADJ ajst-10984 5 22 value value NOUN ajst-10984 5 23 of of ADP ajst-10984 5 24 each each DET ajst-10984 5 25 chemical chemical NOUN ajst-10984 5 26 composition composition NOUN ajst-10984 5 27 of of ADP ajst-10984 5 28 the the DET ajst-10984 5 29 two two NUM ajst-10984 5 30 main main ADJ ajst-10984 5 31 types type NOUN ajst-10984 5 32 of of ADP ajst-10984 5 33 glass glass NOUN ajst-10984 5 34 . . PUNCT ajst-10984 6 1 the the DET ajst-10984 6 2 𝜎 𝜎 PROPN ajst-10984 6 3 principle principle NOUN ajst-10984 6 4 and and CCONJ ajst-10984 6 5 the the DET ajst-10984 6 6 lower low ADJ ajst-10984 6 7 quartile quartile NOUN ajst-10984 6 8 principle principle NOUN ajst-10984 6 9 are be AUX ajst-10984 6 10 chosen choose VERB ajst-10984 6 11 , , PUNCT ajst-10984 6 12 respectively respectively ADV ajst-10984 6 13 , , PUNCT ajst-10984 6 14 to to PART ajst-10984 6 15 determine determine VERB ajst-10984 6 16 the the DET ajst-10984 6 17 critical critical ADJ ajst-10984 6 18 values value NOUN ajst-10984 6 19 according accord VERB ajst-10984 6 20 to to ADP ajst-10984 6 21 whether whether SCONJ ajst-10984 6 22 the the DET ajst-10984 6 23 data datum NOUN ajst-10984 6 24 follow follow VERB ajst-10984 6 25 a a DET ajst-10984 6 26 normal normal ADJ ajst-10984 6 27 distribution distribution NOUN ajst-10984 6 28 or or CCONJ ajst-10984 6 29 not not PART ajst-10984 6 30 , , PUNCT ajst-10984 6 31 and and CCONJ ajst-10984 6 32 the the DET ajst-10984 6 33 final final ADJ ajst-10984 6 34 classification classification NOUN ajst-10984 6 35 results result NOUN ajst-10984 6 36 are be AUX ajst-10984 6 37 obtained obtain VERB ajst-10984 6 38 by by ADP ajst-10984 6 39 hard hard ADJ ajst-10984 6 40 voting voting NOUN ajst-10984 6 41 . . PUNCT ajst-10984 7 1 the the DET ajst-10984 7 2 hard hard ADJ ajst-10984 7 3 voting voting NOUN ajst-10984 7 4 model model NOUN ajst-10984 7 5 was be AUX ajst-10984 7 6 trained train VERB ajst-10984 7 7 with with ADP ajst-10984 7 8 an an DET ajst-10984 7 9 accuracy accuracy NOUN ajst-10984 7 10 of of ADP ajst-10984 7 11 97 97 NUM ajst-10984 7 12 % % NOUN ajst-10984 7 13 . . PUNCT ajst-10984 8 1 the the DET ajst-10984 8 2 two two NUM ajst-10984 8 3 main main ADJ ajst-10984 8 4 classes class NOUN ajst-10984 8 5 of of ADP ajst-10984 8 6 glass glass NOUN ajst-10984 8 7 were be AUX ajst-10984 8 8 then then ADV ajst-10984 8 9 subclassed subclasse VERB ajst-10984 8 10 according accord VERB ajst-10984 8 11 to to ADP ajst-10984 8 12 systematic systematic ADJ ajst-10984 8 13 class class NOUN ajst-10984 8 14 clustering clustering NOUN ajst-10984 8 15 , , PUNCT ajst-10984 8 16 and and CCONJ ajst-10984 8 17 by by ADP ajst-10984 8 18 making make VERB ajst-10984 8 19 the the DET ajst-10984 8 20 real real ADJ ajst-10984 8 21 data datum NOUN ajst-10984 8 22 fluctuate fluctuate NOUN ajst-10984 8 23 within within ADP ajst-10984 8 24 Β±1 Β±1 PROPN ajst-10984 8 25 % % NOUN ajst-10984 8 26 , , PUNCT ajst-10984 8 27 the the DET ajst-10984 8 28 clustering clustering NOUN ajst-10984 8 29 was be AUX ajst-10984 8 30 performed perform VERB ajst-10984 8 31 again again ADV ajst-10984 8 32 under under ADP ajst-10984 8 33 the the DET ajst-10984 8 34 same same ADJ ajst-10984 8 35 conditions condition NOUN ajst-10984 8 36 . . PUNCT ajst-10984 9 1 the the DET ajst-10984 9 2 same same ADJ ajst-10984 9 3 results result NOUN ajst-10984 9 4 were be AUX ajst-10984 9 5 found find VERB ajst-10984 9 6 as as ADP ajst-10984 9 7 for for ADP ajst-10984 9 8 the the DET ajst-10984 9 9 stable stable ADJ ajst-10984 9 10 data datum NOUN ajst-10984 9 11 clustering cluster VERB ajst-10984 9 12 , , PUNCT ajst-10984 9 13 indicating indicate VERB ajst-10984 9 14 that that SCONJ ajst-10984 9 15 the the DET ajst-10984 9 16 systematic systematic ADJ ajst-10984 9 17 class class NOUN ajst-10984 9 18 clustering clustering NOUN ajst-10984 9 19 model model NOUN ajst-10984 9 20 is be AUX ajst-10984 9 21 stable stable ADJ ajst-10984 9 22 for for ADP ajst-10984 9 23 subclassification subclassification NOUN ajst-10984 9 24 of of ADP ajst-10984 9 25 each each DET ajst-10984 9 26 glass glass NOUN ajst-10984 9 27 category category NOUN ajst-10984 9 28 . . PUNCT ajst-10984 10 1 keywords keyword NOUN ajst-10984 10 2 : : PUNCT ajst-10984 10 3 systematic systematic ADJ ajst-10984 10 4 clustering clustering NOUN ajst-10984 10 5 , , PUNCT ajst-10984 10 6 hard hard ADJ ajst-10984 10 7 voting voting NOUN ajst-10984 10 8 , , PUNCT ajst-10984 10 9 glass glass NOUN ajst-10984 10 10 classification classification NOUN ajst-10984 10 11 . . PUNCT ajst-10984 11 1 1 1 X ajst-10984 11 2 . . X ajst-10984 11 3 introduction introduction NOUN ajst-10984 11 4 the the DET ajst-10984 11 5 main main ADJ ajst-10984 11 6 raw raw ADJ ajst-10984 11 7 materials material NOUN ajst-10984 11 8 and and CCONJ ajst-10984 11 9 chemical chemical NOUN ajst-10984 11 10 composition composition NOUN ajst-10984 11 11 of of ADP ajst-10984 11 12 glass glass NOUN ajst-10984 11 13 are be AUX ajst-10984 11 14 quartz quartz NOUN ajst-10984 11 15 sand sand NOUN ajst-10984 11 16 and and CCONJ ajst-10984 11 17 sio2.pure sio2.pure PRON ajst-10984 11 18 quartz quartz NOUN ajst-10984 11 19 sand sand NOUN ajst-10984 11 20 has have VERB ajst-10984 11 21 a a DET ajst-10984 11 22 relatively relatively ADV ajst-10984 11 23 high high ADJ ajst-10984 11 24 melting melting NOUN ajst-10984 11 25 point point NOUN ajst-10984 11 26 and and CCONJ ajst-10984 11 27 refining refining NOUN ajst-10984 11 28 requires require VERB ajst-10984 11 29 the the DET ajst-10984 11 30 addition addition NOUN ajst-10984 11 31 of of ADP ajst-10984 11 32 a a DET ajst-10984 11 33 flux flux NOUN ajst-10984 11 34 to to PART ajst-10984 11 35 lower lower VERB ajst-10984 11 36 the the DET ajst-10984 11 37 melting melting NOUN ajst-10984 11 38 temperature temperature NOUN ajst-10984 11 39 . . PUNCT ajst-10984 12 1 depending depend VERB ajst-10984 12 2 on on ADP ajst-10984 12 3 the the DET ajst-10984 12 4 flux flux NOUN ajst-10984 12 5 added add VERB ajst-10984 12 6 and and CCONJ ajst-10984 12 7 the the DET ajst-10984 12 8 main main ADJ ajst-10984 12 9 chemical chemical NOUN ajst-10984 12 10 composition composition NOUN ajst-10984 12 11 , , PUNCT ajst-10984 12 12 the the DET ajst-10984 12 13 glass glass NOUN ajst-10984 12 14 is be AUX ajst-10984 12 15 divided divide VERB ajst-10984 12 16 into into ADP ajst-10984 12 17 two two NUM ajst-10984 12 18 main main ADJ ajst-10984 12 19 categories category NOUN ajst-10984 12 20 : : PUNCT ajst-10984 12 21 high high ADJ ajst-10984 12 22 potassium potassium NOUN ajst-10984 12 23 glass glass NOUN ajst-10984 12 24 and and CCONJ ajst-10984 12 25 leadbarium leadbarium NOUN ajst-10984 12 26 glass glass NOUN ajst-10984 12 27 . . PUNCT ajst-10984 13 1 in in ADP ajst-10984 13 2 order order NOUN ajst-10984 13 3 to to PART ajst-10984 13 4 classify classify VERB ajst-10984 13 5 ancient ancient ADJ ajst-10984 13 6 glass glass NOUN ajst-10984 13 7 , , PUNCT ajst-10984 13 8 the the DET ajst-10984 13 9 literature literature NOUN ajst-10984 13 10 that that PRON ajst-10984 13 11 has have AUX ajst-10984 13 12 been be AUX ajst-10984 13 13 obtained obtain VERB ajst-10984 13 14 shows show NOUN ajst-10984 13 15 that that SCONJ ajst-10984 13 16 the the DET ajst-10984 13 17 theoretical theoretical ADJ ajst-10984 13 18 circle circle NOUN ajst-10984 13 19 has have AUX ajst-10984 13 20 carried carry VERB ajst-10984 13 21 out out ADP ajst-10984 13 22 relevant relevant ADJ ajst-10984 13 23 studies study NOUN ajst-10984 13 24 mainly mainly ADV ajst-10984 13 25 from from ADP ajst-10984 13 26 the the DET ajst-10984 13 27 following following ADJ ajst-10984 13 28 aspects aspect NOUN ajst-10984 13 29 : : PUNCT ajst-10984 13 30 yang yang PROPN ajst-10984 13 31 j j PROPN ajst-10984 13 32 et et PROPN ajst-10984 13 33 al al PROPN ajst-10984 13 34 . . PROPN ajst-10984 13 35 obtained obtain VERB ajst-10984 13 36 the the DET ajst-10984 13 37 composition composition NOUN ajst-10984 13 38 of of ADP ajst-10984 13 39 glass glass NOUN ajst-10984 13 40 products product NOUN ajst-10984 13 41 by by ADP ajst-10984 13 42 analysing analyse VERB ajst-10984 13 43 the the DET ajst-10984 13 44 correlation correlation NOUN ajst-10984 13 45 of of ADP ajst-10984 13 46 factors factor NOUN ajst-10984 13 47 external external ADJ ajst-10984 13 48 to to ADP ajst-10984 13 49 glass glass NOUN ajst-10984 13 50 and and CCONJ ajst-10984 13 51 conducting conduct VERB ajst-10984 13 52 an an DET ajst-10984 13 53 independent independent ADJ ajst-10984 13 54 sample sample NOUN ajst-10984 13 55 mann mann PROPN ajst-10984 13 56 - - PUNCT ajst-10984 13 57 whitney[1 whitney[1 PROPN ajst-10984 13 58 ] ] PUNCT ajst-10984 13 59 test test NOUN ajst-10984 13 60 on on ADP ajst-10984 13 61 glass glass NOUN ajst-10984 13 62 , , PUNCT ajst-10984 13 63 building build VERB ajst-10984 13 64 a a DET ajst-10984 13 65 model model NOUN ajst-10984 13 66 based base VERB ajst-10984 13 67 on on ADP ajst-10984 13 68 random random ADJ ajst-10984 13 69 forest[2 forest[2 PROPN ajst-10984 13 70 ] ] PUNCT ajst-10984 13 71 and and CCONJ ajst-10984 13 72 constructing construct VERB ajst-10984 13 73 different different ADJ ajst-10984 13 74 classification classification NOUN ajst-10984 13 75 criteria[3 criteria[3 NOUN ajst-10984 13 76 ] ] X ajst-10984 13 77 ; ; PUNCT ajst-10984 13 78 zhilin zhilin PROPN ajst-10984 13 79 huang huang PROPN ajst-10984 13 80 et et PROPN ajst-10984 13 81 al al PROPN ajst-10984 13 82 . . PROPN ajst-10984 13 83 used use VERB ajst-10984 13 84 grey grey ADJ ajst-10984 13 85 correlation correlation NOUN ajst-10984 13 86 analysis analysis NOUN ajst-10984 13 87 for for ADP ajst-10984 13 88 different different ADJ ajst-10984 13 89 types type NOUN ajst-10984 13 90 of of ADP ajst-10984 13 91 ancient ancient ADJ ajst-10984 13 92 glass glass NOUN ajst-10984 13 93 to to PART ajst-10984 13 94 investigate investigate VERB ajst-10984 13 95 the the DET ajst-10984 13 96 correlation correlation NOUN ajst-10984 13 97 between between ADP ajst-10984 13 98 the the DET ajst-10984 13 99 chemical chemical ADJ ajst-10984 13 100 components component NOUN ajst-10984 13 101 of of ADP ajst-10984 13 102 ancient ancient ADJ ajst-10984 13 103 glass[4 glass[4 NOUN ajst-10984 13 104 ] ] X ajst-10984 13 105 , , PUNCT ajst-10984 13 106 and and CCONJ ajst-10984 13 107 used use VERB ajst-10984 13 108 overall overall ADJ ajst-10984 13 109 average average ADJ ajst-10984 13 110 and and CCONJ ajst-10984 13 111 k k NOUN ajst-10984 13 112 - - PUNCT ajst-10984 13 113 mean[5 mean[5 NOUN ajst-10984 13 114 ] ] PUNCT ajst-10984 13 115 , , PUNCT ajst-10984 13 116 [ [ X ajst-10984 13 117 6 6 NUM ajst-10984 13 118 ] ] PUNCT ajst-10984 13 119 clustering cluster VERB ajst-10984 13 120 analysis analysis NOUN ajst-10984 13 121 to to PART ajst-10984 13 122 identify identify VERB ajst-10984 13 123 the the DET ajst-10984 13 124 differences difference NOUN ajst-10984 13 125 between between ADP ajst-10984 13 126 the the DET ajst-10984 13 127 chemical chemical ADJ ajst-10984 13 128 components component NOUN ajst-10984 13 129 of of ADP ajst-10984 13 130 glass glass NOUN ajst-10984 13 131 ; ; PUNCT ajst-10984 13 132 and and CCONJ ajst-10984 13 133 scholar scholar NOUN ajst-10984 13 134 jiajia jiajia VERB ajst-10984 13 135 lu lu PROPN ajst-10984 13 136 et et PROPN ajst-10984 13 137 al al PROPN ajst-10984 13 138 . . PROPN ajst-10984 13 139 has have AUX ajst-10984 13 140 incorporated incorporate VERB ajst-10984 13 141 feature feature NOUN ajst-10984 13 142 selection selection NOUN ajst-10984 13 143 methods[7 methods[7 NOUN ajst-10984 13 144 ] ] PUNCT ajst-10984 13 145 in in ADP ajst-10984 13 146 machine machine NOUN ajst-10984 13 147 learning learning NOUN ajst-10984 13 148 and and CCONJ ajst-10984 13 149 classification classification NOUN ajst-10984 13 150 algorithms algorithm NOUN ajst-10984 13 151 into into ADP ajst-10984 13 152 the the DET ajst-10984 13 153 study study NOUN ajst-10984 13 154 of of ADP ajst-10984 13 155 the the DET ajst-10984 13 156 problem problem NOUN ajst-10984 13 157 of of ADP ajst-10984 13 158 compositional compositional ADJ ajst-10984 13 159 analysis analysis NOUN ajst-10984 13 160 and and CCONJ ajst-10984 13 161 category category NOUN ajst-10984 13 162 identification identification NOUN ajst-10984 13 163 of of ADP ajst-10984 13 164 ancient ancient ADJ ajst-10984 13 165 glass glass NOUN ajst-10984 13 166 objects[8 objects[8 PROPN ajst-10984 13 167 ] ] PUNCT ajst-10984 13 168 . . PUNCT ajst-10984 14 1 using use VERB ajst-10984 14 2 accuracy accuracy NOUN ajst-10984 14 3 and and CCONJ ajst-10984 14 4 auc auc NOUN ajst-10984 14 5 as as ADP ajst-10984 14 6 classification classification NOUN ajst-10984 14 7 performance performance NOUN ajst-10984 14 8 metrics metric NOUN ajst-10984 14 9 , , PUNCT ajst-10984 14 10 an an DET ajst-10984 14 11 attempt attempt NOUN ajst-10984 14 12 was be AUX ajst-10984 14 13 made make VERB ajst-10984 14 14 to to PART ajst-10984 14 15 construct construct VERB ajst-10984 14 16 an an DET ajst-10984 14 17 integration integration NOUN ajst-10984 14 18 feature feature NOUN ajst-10984 14 19 selection selection NOUN ajst-10984 14 20 model model NOUN ajst-10984 14 21 for for ADP ajst-10984 14 22 chemical chemical NOUN ajst-10984 14 23 composition composition NOUN ajst-10984 14 24 selection selection NOUN ajst-10984 14 25 of of ADP ajst-10984 14 26 ancient ancient ADJ ajst-10984 14 27 glassware glassware NOUN ajst-10984 14 28 and and CCONJ ajst-10984 14 29 a a DET ajst-10984 14 30 random random ADJ ajst-10984 14 31 forest forest NOUN ajst-10984 14 32 model[9 model[9 NOUN ajst-10984 14 33 ] ] PUNCT ajst-10984 14 34 for for ADP ajst-10984 14 35 identification identification NOUN ajst-10984 14 36 and and CCONJ ajst-10984 14 37 classification classification NOUN ajst-10984 14 38 . . PUNCT ajst-10984 15 1 in in ADP ajst-10984 15 2 this this DET ajst-10984 15 3 paper paper NOUN ajst-10984 15 4 , , PUNCT ajst-10984 15 5 key key ADJ ajst-10984 15 6 chemical chemical NOUN ajst-10984 15 7 components component NOUN ajst-10984 15 8 are be AUX ajst-10984 15 9 extracted extract VERB ajst-10984 15 10 as as ADP ajst-10984 15 11 classification classification NOUN ajst-10984 15 12 criteria criterion NOUN ajst-10984 15 13 , , PUNCT ajst-10984 15 14 three three NUM ajst-10984 15 15 indicators indicator NOUN ajst-10984 15 16 are be AUX ajst-10984 15 17 used use VERB ajst-10984 15 18 to to PART ajst-10984 15 19 judge judge VERB ajst-10984 15 20 the the DET ajst-10984 15 21 type type NOUN ajst-10984 15 22 , , PUNCT ajst-10984 15 23 and and CCONJ ajst-10984 15 24 an an DET ajst-10984 15 25 innovative innovative ADJ ajst-10984 15 26 approach approach NOUN ajst-10984 15 27 is be AUX ajst-10984 15 28 proposed propose VERB ajst-10984 15 29 to to PART ajst-10984 15 30 judge judge VERB ajst-10984 15 31 the the DET ajst-10984 15 32 category category NOUN ajst-10984 15 33 based base VERB ajst-10984 15 34 on on ADP ajst-10984 15 35 the the DET ajst-10984 15 36 critical critical ADJ ajst-10984 15 37 value value NOUN ajst-10984 15 38 , , PUNCT ajst-10984 15 39 combined combine VERB ajst-10984 15 40 with with ADP ajst-10984 15 41 hard hard ADJ ajst-10984 15 42 voting voting NOUN ajst-10984 15 43 ( ( PUNCT ajst-10984 15 44 minority minority NOUN ajst-10984 15 45 - - PUNCT ajst-10984 15 46 majority majority NOUN ajst-10984 15 47 mechanism).in mechanism).in NOUN ajst-10984 15 48 this this DET ajst-10984 15 49 paper paper NOUN ajst-10984 15 50 , , PUNCT ajst-10984 15 51 for for ADP ajst-10984 15 52 the the DET ajst-10984 15 53 chemical chemical NOUN ajst-10984 15 54 composition composition NOUN ajst-10984 15 55 indicators indicator NOUN ajst-10984 15 56 that that PRON ajst-10984 15 57 obey obey VERB ajst-10984 15 58 normal normal ADJ ajst-10984 15 59 distribution distribution NOUN ajst-10984 15 60 , , PUNCT ajst-10984 15 61 the the DET ajst-10984 15 62 principle principle NOUN ajst-10984 15 63 is be AUX ajst-10984 15 64 used use VERB ajst-10984 15 65 to to PART ajst-10984 15 66 take take VERB ajst-10984 15 67 the the DET ajst-10984 15 68 threshold threshold NOUN ajst-10984 15 69 ; ; PUNCT ajst-10984 15 70 for for ADP ajst-10984 15 71 the the DET ajst-10984 15 72 indicators indicator NOUN ajst-10984 15 73 that that PRON ajst-10984 15 74 do do AUX ajst-10984 15 75 not not PART ajst-10984 15 76 obey obey VERB ajst-10984 15 77 normal normal ADJ ajst-10984 15 78 distribution distribution NOUN ajst-10984 15 79 , , PUNCT ajst-10984 15 80 the the DET ajst-10984 15 81 lower low ADJ ajst-10984 15 82 quartile quartile NOUN ajst-10984 15 83 is be AUX ajst-10984 15 84 used use VERB ajst-10984 15 85 to to PART ajst-10984 15 86 take take VERB ajst-10984 15 87 the the DET ajst-10984 15 88 threshold threshold NOUN ajst-10984 15 89 ; ; PUNCT ajst-10984 15 90 for for ADP ajst-10984 15 91 indicator indicator NOUN ajst-10984 15 92 data datum NOUN ajst-10984 15 93 that that PRON ajst-10984 15 94 do do AUX ajst-10984 15 95 not not PART ajst-10984 15 96 follow follow VERB ajst-10984 15 97 a a DET ajst-10984 15 98 normal normal ADJ ajst-10984 15 99 distribution distribution NOUN ajst-10984 15 100 , , PUNCT ajst-10984 15 101 this this DET ajst-10984 15 102 paper paper NOUN ajst-10984 15 103 uses use VERB ajst-10984 15 104 the the DET ajst-10984 15 105 lower low ADJ ajst-10984 15 106 quartile quartile NOUN ajst-10984 15 107 to to PART ajst-10984 15 108 take take VERB ajst-10984 15 109 the the DET ajst-10984 15 110 critical critical ADJ ajst-10984 15 111 . . PUNCT ajst-10984 16 1 the the DET ajst-10984 16 2 system system NOUN ajst-10984 16 3 clustering cluster VERB ajst-10984 16 4 model[10 model[10 X ajst-10984 16 5 ] ] PUNCT ajst-10984 16 6 makes make VERB ajst-10984 16 7 full full ADJ ajst-10984 16 8 use use NOUN ajst-10984 16 9 of of ADP ajst-10984 16 10 data datum NOUN ajst-10984 16 11 information information NOUN ajst-10984 16 12 in in ADP ajst-10984 16 13 the the DET ajst-10984 16 14 selection selection NOUN ajst-10984 16 15 of of ADP ajst-10984 16 16 classification classification NOUN ajst-10984 16 17 indicators indicator NOUN ajst-10984 16 18 , , PUNCT ajst-10984 16 19 and and CCONJ ajst-10984 16 20 the the DET ajst-10984 16 21 indicators indicator NOUN ajst-10984 16 22 selected select VERB ajst-10984 16 23 correspond correspond ADV ajst-10984 16 24 to to ADP ajst-10984 16 25 known know VERB ajst-10984 16 26 information information NOUN ajst-10984 16 27 and and CCONJ ajst-10984 16 28 have have VERB ajst-10984 16 29 a a DET ajst-10984 16 30 strong strong ADJ ajst-10984 16 31 ability ability NOUN ajst-10984 16 32 to to PART ajst-10984 16 33 be be AUX ajst-10984 16 34 combined combine VERB ajst-10984 16 35 in in ADP ajst-10984 16 36 practice practice NOUN ajst-10984 16 37 . . PUNCT ajst-10984 17 1 it it PRON ajst-10984 17 2 was be AUX ajst-10984 17 3 found find VERB ajst-10984 17 4 that that SCONJ ajst-10984 17 5 using use VERB ajst-10984 17 6 the the DET ajst-10984 17 7 above above ADJ ajst-10984 17 8 method method NOUN ajst-10984 17 9 , , PUNCT ajst-10984 17 10 not not PART ajst-10984 17 11 only only ADV ajst-10984 17 12 is be AUX ajst-10984 17 13 the the DET ajst-10984 17 14 identification identification NOUN ajst-10984 17 15 fast fast ADJ ajst-10984 17 16 and and CCONJ ajst-10984 17 17 accurate accurate ADJ ajst-10984 17 18 , , PUNCT ajst-10984 17 19 but but CCONJ ajst-10984 17 20 it it PRON ajst-10984 17 21 is be AUX ajst-10984 17 22 an an DET ajst-10984 17 23 important important ADJ ajst-10984 17 24 guide guide NOUN ajst-10984 17 25 for for ADP ajst-10984 17 26 the the DET ajst-10984 17 27 differentiation differentiation NOUN ajst-10984 17 28 of of ADP ajst-10984 17 29 high high ADJ ajst-10984 17 30 potassium potassium NOUN ajst-10984 17 31 glass glass NOUN ajst-10984 17 32 from from ADP ajst-10984 17 33 lead lead ADJ ajst-10984 17 34 - - PUNCT ajst-10984 17 35 barium barium NOUN ajst-10984 17 36 glass glass NOUN ajst-10984 17 37 , , PUNCT ajst-10984 17 38 as as ADV ajst-10984 17 39 well well ADV ajst-10984 17 40 as as ADP ajst-10984 17 41 for for ADP ajst-10984 17 42 further further ADJ ajst-10984 17 43 subclassification subclassification NOUN ajst-10984 17 44 . . PUNCT ajst-10984 18 1 2 2 X ajst-10984 18 2 . . X ajst-10984 18 3 establishment establishment NOUN ajst-10984 18 4 and and CCONJ ajst-10984 18 5 solution solution NOUN ajst-10984 18 6 of of ADP ajst-10984 18 7 ancient ancient ADJ ajst-10984 18 8 glass glass NOUN ajst-10984 18 9 classification classification NOUN ajst-10984 18 10 and and CCONJ ajst-10984 18 11 subclassification subclassification NOUN ajst-10984 18 12 models model NOUN ajst-10984 18 13 2.1 2.1 NUM ajst-10984 18 14 . . PUNCT ajst-10984 19 1 classification classification NOUN ajst-10984 19 2 rules rule NOUN ajst-10984 19 3 of of ADP ajst-10984 19 4 high high ADJ ajst-10984 19 5 potassium potassium NOUN ajst-10984 19 6 glass glass NOUN ajst-10984 19 7 and and CCONJ ajst-10984 19 8 lead lead NOUN ajst-10984 19 9 barium barium NOUN ajst-10984 19 10 glass glass NOUN ajst-10984 19 11 based base VERB ajst-10984 19 12 on on ADP ajst-10984 19 13 the the DET ajst-10984 19 14 type type NOUN ajst-10984 19 15 and and CCONJ ajst-10984 19 16 weathering weathering NOUN ajst-10984 19 17 degree degree NOUN ajst-10984 19 18 of of ADP ajst-10984 19 19 glass glass NOUN ajst-10984 19 20 obtained obtain VERB ajst-10984 19 21 from from ADP ajst-10984 19 22 on on ADP ajst-10984 19 23 - - PUNCT ajst-10984 19 24 site site NOUN ajst-10984 19 25 investigation investigation NOUN ajst-10984 19 26 data datum NOUN ajst-10984 19 27 , , PUNCT ajst-10984 19 28 this this DET ajst-10984 19 29 article article NOUN ajst-10984 19 30 divides divide VERB ajst-10984 19 31 all all DET ajst-10984 19 32 glass glass NOUN ajst-10984 19 33 into into ADP ajst-10984 19 34 five five NUM ajst-10984 19 35 categories category NOUN ajst-10984 19 36 : : PUNCT ajst-10984 19 37 high high ADJ ajst-10984 19 38 potassium potassium NOUN ajst-10984 19 39 weathering weathering NOUN ajst-10984 19 40 , , PUNCT ajst-10984 19 41 high high ADJ ajst-10984 19 42 potassium potassium NOUN ajst-10984 19 43 without without ADP ajst-10984 19 44 weathering weathering NOUN ajst-10984 19 45 , , PUNCT ajst-10984 19 46 lead lead VERB ajst-10984 19 47 barium barium NOUN ajst-10984 19 48 weathering weathering NOUN ajst-10984 19 49 , , PUNCT ajst-10984 19 50 lead lead NOUN ajst-10984 19 51 barium barium NOUN ajst-10984 19 52 without without ADP ajst-10984 19 53 weathering weathering NOUN ajst-10984 19 54 , , PUNCT ajst-10984 19 55 and and CCONJ ajst-10984 19 56 severe severe ADJ ajst-10984 19 57 lead lead NOUN ajst-10984 19 58 barium barium NOUN ajst-10984 19 59 weathering weathering NOUN ajst-10984 19 60 . . PUNCT ajst-10984 20 1 statistically statistically ADV ajst-10984 20 2 describe describe VERB ajst-10984 20 3 various various ADJ ajst-10984 20 4 chemical chemical NOUN ajst-10984 20 5 composition composition NOUN ajst-10984 20 6 data datum NOUN ajst-10984 20 7 , , PUNCT ajst-10984 20 8 extract extract VERB ajst-10984 20 9 various various ADJ ajst-10984 20 10 means mean NOUN ajst-10984 20 11 and and CCONJ ajst-10984 20 12 standard standard ADJ ajst-10984 20 13 deviations deviation NOUN ajst-10984 20 14 , , PUNCT ajst-10984 20 15 and and CCONJ ajst-10984 20 16 the the DET ajst-10984 20 17 results result NOUN ajst-10984 20 18 are be AUX ajst-10984 20 19 shown show VERB ajst-10984 20 20 in in ADP ajst-10984 20 21 the the DET ajst-10984 20 22 figure1 figure1 PROPN ajst-10984 20 23 : : PUNCT ajst-10984 20 24 32 32 NUM ajst-10984 20 25 figure figure NOUN ajst-10984 20 26 1 1 NUM ajst-10984 20 27 . . PUNCT ajst-10984 21 1 mean mean ADJ ajst-10984 21 2 value value NOUN ajst-10984 21 3 of of ADP ajst-10984 21 4 various various ADJ ajst-10984 21 5 chemical chemical ADJ ajst-10984 21 6 components component NOUN ajst-10984 21 7 in in ADP ajst-10984 21 8 different different ADJ ajst-10984 21 9 types type NOUN ajst-10984 21 10 of of ADP ajst-10984 21 11 glass glass NOUN ajst-10984 21 12 from from ADP ajst-10984 21 13 the the DET ajst-10984 21 14 table table NOUN ajst-10984 21 15 , , PUNCT ajst-10984 21 16 it it PRON ajst-10984 21 17 can can AUX ajst-10984 21 18 be be AUX ajst-10984 21 19 found find VERB ajst-10984 21 20 that that SCONJ ajst-10984 21 21 the the DET ajst-10984 21 22 chemical chemical NOUN ajst-10984 21 23 composition composition NOUN ajst-10984 21 24 of of ADP ajst-10984 21 25 silicon silicon NOUN ajst-10984 21 26 dioxide dioxide NOUN ajst-10984 21 27 ( ( PUNCT ajst-10984 21 28 sio2 sio2 PROPN ajst-10984 21 29 ) ) PUNCT ajst-10984 21 30 and and CCONJ ajst-10984 21 31 potassium potassium NOUN ajst-10984 21 32 oxide oxide NOUN ajst-10984 21 33 ( ( PUNCT ajst-10984 21 34 k2o k2o NOUN ajst-10984 21 35 ) ) PUNCT ajst-10984 21 36 in in ADP ajst-10984 21 37 high high ADJ ajst-10984 21 38 potassium potassium NOUN ajst-10984 21 39 glass glass NOUN ajst-10984 21 40 is be AUX ajst-10984 21 41 significantly significantly ADV ajst-10984 21 42 higher high ADJ ajst-10984 21 43 than than ADP ajst-10984 21 44 that that PRON ajst-10984 21 45 in in ADP ajst-10984 21 46 lead lead ADJ ajst-10984 21 47 barium barium NOUN ajst-10984 21 48 glass glass NOUN ajst-10984 21 49 , , PUNCT ajst-10984 21 50 and and CCONJ ajst-10984 21 51 the the DET ajst-10984 21 52 content content NOUN ajst-10984 21 53 of of ADP ajst-10984 21 54 lead lead ADJ ajst-10984 21 55 oxide oxide NOUN ajst-10984 21 56 ( ( PUNCT ajst-10984 21 57 pbo pbo NOUN ajst-10984 21 58 ) ) PUNCT ajst-10984 21 59 and and CCONJ ajst-10984 21 60 barium barium NOUN ajst-10984 21 61 oxide oxide NOUN ajst-10984 21 62 ( ( PUNCT ajst-10984 21 63 bao bao PROPN ajst-10984 21 64 ) ) PUNCT ajst-10984 21 65 is be AUX ajst-10984 21 66 significantly significantly ADV ajst-10984 21 67 lower low ADJ ajst-10984 21 68 than than ADP ajst-10984 21 69 that that PRON ajst-10984 21 70 in in ADP ajst-10984 21 71 lead lead ADJ ajst-10984 21 72 barium barium NOUN ajst-10984 21 73 glass glass NOUN ajst-10984 21 74 . . PUNCT ajst-10984 22 1 however however ADV ajst-10984 22 2 , , PUNCT ajst-10984 22 3 in in ADP ajst-10984 22 4 the the DET ajst-10984 22 5 indicator indicator NOUN ajst-10984 22 6 of of ADP ajst-10984 22 7 potassium potassium NOUN ajst-10984 22 8 oxide oxide NOUN ajst-10984 22 9 ( ( PUNCT ajst-10984 22 10 k2o k2o NOUN ajst-10984 22 11 ) ) PUNCT ajst-10984 22 12 , , PUNCT ajst-10984 22 13 high high ADJ ajst-10984 22 14 potassium potassium NOUN ajst-10984 22 15 without without ADP ajst-10984 22 16 weathering weather VERB ajst-10984 22 17 glass glass NOUN ajst-10984 22 18 is be AUX ajst-10984 22 19 significantly significantly ADV ajst-10984 22 20 higher high ADJ ajst-10984 22 21 than than ADP ajst-10984 22 22 that that PRON ajst-10984 22 23 in in ADP ajst-10984 22 24 lead lead ADJ ajst-10984 22 25 barium barium NOUN ajst-10984 22 26 glass glass NOUN ajst-10984 22 27 , , PUNCT ajst-10984 22 28 but but CCONJ ajst-10984 22 29 high high ADJ ajst-10984 22 30 potassium potassium NOUN ajst-10984 22 31 weathered weather VERB ajst-10984 22 32 glass glass NOUN ajst-10984 22 33 is be AUX ajst-10984 22 34 not not PART ajst-10984 22 35 significant significant ADJ ajst-10984 22 36 . . PUNCT ajst-10984 23 1 therefore therefore ADV ajst-10984 23 2 , , PUNCT ajst-10984 23 3 silicon silicon NOUN ajst-10984 23 4 dioxide dioxide NOUN ajst-10984 23 5 ( ( PUNCT ajst-10984 23 6 sio2 sio2 PROPN ajst-10984 23 7 ) ) PUNCT ajst-10984 23 8 is be AUX ajst-10984 23 9 chosen choose VERB ajst-10984 23 10 . . PUNCT ajst-10984 24 1 the the DET ajst-10984 24 2 three three NUM ajst-10984 24 3 indicators indicator NOUN ajst-10984 24 4 of of ADP ajst-10984 24 5 lead lead ADJ ajst-10984 24 6 oxide oxide NOUN ajst-10984 24 7 ( ( PUNCT ajst-10984 24 8 pbo pbo NOUN ajst-10984 24 9 ) ) PUNCT ajst-10984 24 10 and and CCONJ ajst-10984 24 11 barium barium NOUN ajst-10984 24 12 oxide oxide NOUN ajst-10984 24 13 ( ( PUNCT ajst-10984 24 14 bao bao PROPN ajst-10984 24 15 ) ) PUNCT ajst-10984 24 16 serve serve VERB ajst-10984 24 17 as as ADP ajst-10984 24 18 the the DET ajst-10984 24 19 basis basis NOUN ajst-10984 24 20 for for ADP ajst-10984 24 21 determining determine VERB ajst-10984 24 22 the the DET ajst-10984 24 23 type type NOUN ajst-10984 24 24 of of ADP ajst-10984 24 25 glass glass NOUN ajst-10984 24 26 . . PUNCT ajst-10984 25 1 in in ADP ajst-10984 25 2 order order NOUN ajst-10984 25 3 to to PART ajst-10984 25 4 judge judge VERB ajst-10984 25 5 the the DET ajst-10984 25 6 glass glass NOUN ajst-10984 25 7 type type NOUN ajst-10984 25 8 , , PUNCT ajst-10984 25 9 it it PRON ajst-10984 25 10 is be AUX ajst-10984 25 11 necessary necessary ADJ ajst-10984 25 12 to to PART ajst-10984 25 13 determine determine VERB ajst-10984 25 14 the the DET ajst-10984 25 15 critical critical ADJ ajst-10984 25 16 value value NOUN ajst-10984 25 17 . . PUNCT ajst-10984 26 1 for for SCONJ ajst-10984 26 2 the the DET ajst-10984 26 3 index index NOUN ajst-10984 26 4 data datum NOUN ajst-10984 26 5 subject subject ADJ ajst-10984 26 6 to to ADP ajst-10984 26 7 normal normal ADJ ajst-10984 26 8 distribution distribution NOUN ajst-10984 26 9 , , PUNCT ajst-10984 26 10 this this DET ajst-10984 26 11 paper paper NOUN ajst-10984 26 12 adopts adopt VERB ajst-10984 26 13 the the DET ajst-10984 26 14 1 1 NUM ajst-10984 26 15 sigma sigma PROPN ajst-10984 26 16 principle principle NOUN ajst-10984 26 17 ; ; PUNCT ajst-10984 26 18 for for ADP ajst-10984 26 19 the the DET ajst-10984 26 20 index index NOUN ajst-10984 26 21 data datum NOUN ajst-10984 26 22 that that PRON ajst-10984 26 23 do do AUX ajst-10984 26 24 not not PART ajst-10984 26 25 conform conform VERB ajst-10984 26 26 to to ADP ajst-10984 26 27 the the DET ajst-10984 26 28 normal normal ADJ ajst-10984 26 29 distribution distribution NOUN ajst-10984 26 30 , , PUNCT ajst-10984 26 31 this this DET ajst-10984 26 32 paper paper NOUN ajst-10984 26 33 takes take VERB ajst-10984 26 34 the the DET ajst-10984 26 35 quartile quartile NOUN ajst-10984 26 36 as as ADP ajst-10984 26 37 the the DET ajst-10984 26 38 critical critical ADJ ajst-10984 26 39 value value NOUN ajst-10984 26 40 . . PUNCT ajst-10984 27 1 and and CCONJ ajst-10984 27 2 this this DET ajst-10984 27 3 article article NOUN ajst-10984 27 4 has have VERB ajst-10984 27 5 three three NUM ajst-10984 27 6 indicators indicator NOUN ajst-10984 27 7 for for ADP ajst-10984 27 8 the the DET ajst-10984 27 9 type type NOUN ajst-10984 27 10 of of ADP ajst-10984 27 11 judgment judgment NOUN ajst-10984 27 12 . . PUNCT ajst-10984 28 1 in in ADP ajst-10984 28 2 order order NOUN ajst-10984 28 3 to to PART ajst-10984 28 4 reduce reduce VERB ajst-10984 28 5 errors error NOUN ajst-10984 28 6 and and CCONJ ajst-10984 28 7 improve improve VERB ajst-10984 28 8 the the DET ajst-10984 28 9 accuracy accuracy NOUN ajst-10984 28 10 of of ADP ajst-10984 28 11 judgment judgment NOUN ajst-10984 28 12 , , PUNCT ajst-10984 28 13 this this DET ajst-10984 28 14 article article NOUN ajst-10984 28 15 uses use VERB ajst-10984 28 16 hard hard ADJ ajst-10984 28 17 voting voting NOUN ajst-10984 28 18 , , PUNCT ajst-10984 28 19 which which PRON ajst-10984 28 20 is be AUX ajst-10984 28 21 a a DET ajst-10984 28 22 method method NOUN ajst-10984 28 23 of of ADP ajst-10984 28 24 combining combine VERB ajst-10984 28 25 the the DET ajst-10984 28 26 three three NUM ajst-10984 28 27 indicators indicator NOUN ajst-10984 28 28 to to PART ajst-10984 28 29 make make VERB ajst-10984 28 30 judgments judgment NOUN ajst-10984 28 31 based base VERB ajst-10984 28 32 on on ADP ajst-10984 28 33 the the DET ajst-10984 28 34 mechanism mechanism NOUN ajst-10984 28 35 of of ADP ajst-10984 28 36 minority minority NOUN ajst-10984 28 37 obeying obey VERB ajst-10984 28 38 majority majority NOUN ajst-10984 28 39 . . PUNCT ajst-10984 29 1 the the DET ajst-10984 29 2 flowchart flowchart NOUN ajst-10984 29 3 is be AUX ajst-10984 29 4 shown show VERB ajst-10984 29 5 in in ADP ajst-10984 29 6 the the DET ajst-10984 29 7 figure figure NOUN ajst-10984 29 8 2 2 NUM ajst-10984 29 9 : : PUNCT ajst-10984 29 10 figure figure NOUN ajst-10984 29 11 2 2 NUM ajst-10984 29 12 . . PUNCT ajst-10984 29 13 hard hard ADJ ajst-10984 29 14 voting voting NOUN ajst-10984 29 15 process process NOUN ajst-10984 29 16 for for ADP ajst-10984 29 17 the the DET ajst-10984 29 18 indicator indicator NOUN ajst-10984 29 19 of of ADP ajst-10984 29 20 silicon silicon NOUN ajst-10984 29 21 dioxide dioxide NOUN ajst-10984 29 22 ( ( PUNCT ajst-10984 29 23 sio2 sio2 PROPN ajst-10984 29 24 ) ) PUNCT ajst-10984 29 25 , , PUNCT ajst-10984 29 26 it it PRON ajst-10984 29 27 can can AUX ajst-10984 29 28 be be AUX ajst-10984 29 29 found find VERB ajst-10984 29 30 that that SCONJ ajst-10984 29 31 the the DET ajst-10984 29 32 mean mean ADJ ajst-10984 29 33 value value NOUN ajst-10984 29 34 of of ADP ajst-10984 29 35 high high ADJ ajst-10984 29 36 potassium potassium NOUN ajst-10984 29 37 without without ADP ajst-10984 29 38 weathering weathering NOUN ajst-10984 29 39 is be AUX ajst-10984 29 40 smaller small ADJ ajst-10984 29 41 than than ADP ajst-10984 29 42 the the DET ajst-10984 29 43 mean mean ADJ ajst-10984 29 44 value value NOUN ajst-10984 29 45 of of ADP ajst-10984 29 46 high high ADJ ajst-10984 29 47 potassium potassium NOUN ajst-10984 29 48 weathering weathering NOUN ajst-10984 29 49 . . PUNCT ajst-10984 30 1 therefore therefore ADV ajst-10984 30 2 , , PUNCT ajst-10984 30 3 this this DET ajst-10984 30 4 article article NOUN ajst-10984 30 5 chooses choose VERB ajst-10984 30 6 high high ADJ ajst-10984 30 7 potassium potassium NOUN ajst-10984 30 8 without without ADP ajst-10984 30 9 weathering weather VERB ajst-10984 30 10 data datum NOUN ajst-10984 30 11 to to PART ajst-10984 30 12 solve solve VERB ajst-10984 30 13 the the DET ajst-10984 30 14 critical critical ADJ ajst-10984 30 15 value value NOUN ajst-10984 30 16 . . PUNCT ajst-10984 31 1 firstly firstly ADV ajst-10984 31 2 , , PUNCT ajst-10984 31 3 the the DET ajst-10984 31 4 normal normal ADJ ajst-10984 31 5 distribution distribution NOUN ajst-10984 31 6 test test NOUN ajst-10984 31 7 is be AUX ajst-10984 31 8 carried carry VERB ajst-10984 31 9 out out ADP ajst-10984 31 10 , , PUNCT ajst-10984 31 11 which which PRON ajst-10984 31 12 is be AUX ajst-10984 31 13 implemented implement VERB ajst-10984 31 14 by by ADP ajst-10984 31 15 jb jb PROPN ajst-10984 31 16 test test NOUN ajst-10984 31 17 . . PUNCT ajst-10984 32 1 the the DET ajst-10984 32 2 other other ADJ ajst-10984 32 3 three three NUM ajst-10984 32 4 indicators indicator NOUN ajst-10984 32 5 were be AUX ajst-10984 32 6 tested test VERB ajst-10984 32 7 using use VERB ajst-10984 32 8 the the DET ajst-10984 32 9 same same ADJ ajst-10984 32 10 method method NOUN ajst-10984 32 11 , , PUNCT ajst-10984 32 12 and and CCONJ ajst-10984 32 13 the the DET ajst-10984 32 14 results result NOUN ajst-10984 32 15 are be AUX ajst-10984 32 16 shown show VERB ajst-10984 32 17 in in ADP ajst-10984 32 18 table.1 table.1 NOUN ajst-10984 32 19 : : PUNCT ajst-10984 32 20 tables table NOUN ajst-10984 32 21 1 1 NUM ajst-10984 32 22 . . PUNCT ajst-10984 32 23 jarque jarque NOUN ajst-10984 32 24 - - PUNCT ajst-10984 32 25 bera bera NOUN ajst-10984 32 26 test test NOUN ajst-10984 32 27 indicators indicator NOUN ajst-10984 32 28 test test VERB ajst-10984 32 29 object object VERB ajst-10984 32 30 p p PROPN ajst-10984 32 31 𝑆𝑖𝑂 𝑆𝑖𝑂 PROPN ajst-10984 32 32 high high ADJ ajst-10984 32 33 potassium potassium NOUN ajst-10984 32 34 and and CCONJ ajst-10984 32 35 not not PART ajst-10984 32 36 weathered weather VERB ajst-10984 32 37 0.0842 0.0842 NUM ajst-10984 32 38 𝑃𝑏𝑂 𝑃𝑏𝑂 NOUN ajst-10984 32 39 lead lead NOUN ajst-10984 32 40 barium barium NOUN ajst-10984 32 41 glass glass NOUN ajst-10984 32 42 and and CCONJ ajst-10984 32 43 not not PART ajst-10984 32 44 weathered weather VERB ajst-10984 32 45 0.5 0.5 NUM ajst-10984 32 46 π΅π‘Žπ‘‚ π΅π‘Žπ‘‚ NOUN ajst-10984 32 47 lead lead NOUN ajst-10984 32 48 barium barium NOUN ajst-10984 32 49 glass glass NOUN ajst-10984 32 50 and and CCONJ ajst-10984 32 51 not not PART ajst-10984 32 52 weathered weather VERB ajst-10984 32 53 0.0022 0.0022 NUM ajst-10984 32 54 0 0 NUM ajst-10984 32 55 5 5 NUM ajst-10984 32 56 10 10 NUM ajst-10984 32 57 15 15 NUM ajst-10984 32 58 20 20 NUM ajst-10984 32 59 25 25 NUM ajst-10984 32 60 sio2 sio2 NOUN ajst-10984 32 61 na2o na2o SCONJ ajst-10984 32 62 k2o k2o PROPN ajst-10984 32 63 cao cao PROPN ajst-10984 32 64 mgo mgo PROPN ajst-10984 32 65 al2o3 al2o3 PROPN ajst-10984 32 66 fe2o3 fe2o3 PROPN ajst-10984 32 67 cuo cuo PROPN ajst-10984 32 68 pbo pbo PROPN ajst-10984 32 69 bao bao PROPN ajst-10984 32 70 p2o5 p2o5 AUX ajst-10984 32 71 sro sro VERB ajst-10984 32 72 sno2 sno2 PROPN ajst-10984 32 73 so2 so2 PROPN ajst-10984 32 74 high high ADJ ajst-10984 32 75 potassium potassium NOUN ajst-10984 32 76 and and CCONJ ajst-10984 32 77 not not PART ajst-10984 32 78 weathered weather VERB ajst-10984 32 79 high high ADJ ajst-10984 32 80 potassium potassium NOUN ajst-10984 32 81 and and CCONJ ajst-10984 32 82 weathered weather VERB ajst-10984 32 83 lead lead NOUN ajst-10984 32 84 barium barium NOUN ajst-10984 32 85 glass glass NOUN ajst-10984 32 86 and and CCONJ ajst-10984 32 87 not not PART ajst-10984 32 88 weathered weather VERB ajst-10984 32 89 33 33 NUM ajst-10984 32 90 it it PRON ajst-10984 32 91 can can AUX ajst-10984 32 92 be be AUX ajst-10984 32 93 found find VERB ajst-10984 32 94 that that SCONJ ajst-10984 32 95 two two NUM ajst-10984 32 96 indicators indicator NOUN ajst-10984 32 97 of of ADP ajst-10984 32 98 silicon silicon NOUN ajst-10984 32 99 dioxide dioxide NOUN ajst-10984 32 100 ( ( PUNCT ajst-10984 32 101 sio2 sio2 PROPN ajst-10984 32 102 ) ) PUNCT ajst-10984 32 103 and and CCONJ ajst-10984 32 104 barium barium NOUN ajst-10984 32 105 oxide oxide NOUN ajst-10984 32 106 ( ( PUNCT ajst-10984 32 107 bao bao PROPN ajst-10984 32 108 ) ) PUNCT ajst-10984 32 109 reject reject VERB ajst-10984 32 110 the the DET ajst-10984 32 111 original original ADJ ajst-10984 32 112 hypothesis hypothesis NOUN ajst-10984 32 113 under under ADP ajst-10984 32 114 the the DET ajst-10984 32 115 90 90 NUM ajst-10984 32 116 % % NOUN ajst-10984 32 117 confidence confidence NOUN ajst-10984 32 118 interval interval NOUN ajst-10984 32 119 , , PUNCT ajst-10984 32 120 indicating indicate VERB ajst-10984 32 121 that that SCONJ ajst-10984 32 122 the the DET ajst-10984 32 123 data datum NOUN ajst-10984 32 124 of of ADP ajst-10984 32 125 two two NUM ajst-10984 32 126 indicators indicator NOUN ajst-10984 32 127 obey obey VERB ajst-10984 32 128 the the DET ajst-10984 32 129 normal normal ADJ ajst-10984 32 130 distribution distribution NOUN ajst-10984 32 131 . . PUNCT ajst-10984 33 1 however however ADV ajst-10984 33 2 , , PUNCT ajst-10984 33 3 the the DET ajst-10984 33 4 lead lead ADJ ajst-10984 33 5 oxide oxide NOUN ajst-10984 33 6 ( ( PUNCT ajst-10984 33 7 pbo pbo NOUN ajst-10984 33 8 ) ) PUNCT ajst-10984 33 9 index index NOUN ajst-10984 33 10 accepts accept VERB ajst-10984 33 11 the the DET ajst-10984 33 12 original original ADJ ajst-10984 33 13 hypothesis hypothesis NOUN ajst-10984 33 14 under under ADP ajst-10984 33 15 the the DET ajst-10984 33 16 90 90 NUM ajst-10984 33 17 % % NOUN ajst-10984 33 18 confidence confidence NOUN ajst-10984 33 19 interval interval NOUN ajst-10984 33 20 , , PUNCT ajst-10984 33 21 indicating indicate VERB ajst-10984 33 22 that that SCONJ ajst-10984 33 23 the the DET ajst-10984 33 24 data datum NOUN ajst-10984 33 25 of of ADP ajst-10984 33 26 the the DET ajst-10984 33 27 two two NUM ajst-10984 33 28 indexes index NOUN ajst-10984 33 29 do do AUX ajst-10984 33 30 not not PART ajst-10984 33 31 obey obey VERB ajst-10984 33 32 the the DET ajst-10984 33 33 normal normal ADJ ajst-10984 33 34 distribution distribution NOUN ajst-10984 33 35 . . PUNCT ajst-10984 34 1 obtain obtain VERB ajst-10984 34 2 the the DET ajst-10984 34 3 critical critical ADJ ajst-10984 34 4 point point NOUN ajst-10984 34 5 by by ADP ajst-10984 34 6 removing remove VERB ajst-10984 34 7 the the DET ajst-10984 34 8 quartile quartile NOUN ajst-10984 34 9 . . PUNCT ajst-10984 35 1 the the DET ajst-10984 35 2 critical critical ADJ ajst-10984 35 3 values value NOUN ajst-10984 35 4 can can AUX ajst-10984 35 5 be be AUX ajst-10984 35 6 obtained obtain VERB ajst-10984 35 7 from from ADP ajst-10984 35 8 the the DET ajst-10984 35 9 previous previous ADJ ajst-10984 35 10 description description NOUN ajst-10984 35 11 statistics statistic NOUN ajst-10984 35 12 , , PUNCT ajst-10984 35 13 and and CCONJ ajst-10984 35 14 the the DET ajst-10984 35 15 comprehensive comprehensive ADJ ajst-10984 35 16 results result NOUN ajst-10984 35 17 are be AUX ajst-10984 35 18 shown show VERB ajst-10984 35 19 in in ADP ajst-10984 35 20 table.2 table.2 ADJ ajst-10984 35 21 : : PUNCT ajst-10984 35 22 tables table NOUN ajst-10984 35 23 2 2 NUM ajst-10984 35 24 . . NOUN ajst-10984 35 25 critical critical ADJ ajst-10984 35 26 value value NOUN ajst-10984 35 27 indicators indicator NOUN ajst-10984 35 28 principle principle VERB ajst-10984 35 29 critical critical ADJ ajst-10984 35 30 value value NOUN ajst-10984 35 31 𝑆𝑖𝑂 𝑆𝑖𝑂 PROPN ajst-10984 35 32 1𝜎 1𝜎 NOUN ajst-10984 35 33 principle principle VERB ajst-10984 35 34 59.24 59.24 NUM ajst-10984 35 35 𝑃𝑏𝑂 𝑃𝑏𝑂 NOUN ajst-10984 35 36 lower low ADJ ajst-10984 35 37 quartile quartile ADJ ajst-10984 35 38 principle principle NOUN ajst-10984 35 39 16.26 16.26 NUM ajst-10984 35 40 π΅π‘Žπ‘‚ π΅π‘Žπ‘‚ NOUN ajst-10984 35 41 1𝜎 1𝜎 PROPN ajst-10984 35 42 principle principle NOUN ajst-10984 35 43 3.02 3.02 NUM ajst-10984 35 44 for for ADP ajst-10984 35 45 silicon silicon NOUN ajst-10984 35 46 dioxide dioxide NOUN ajst-10984 35 47 ( ( PUNCT ajst-10984 35 48 sio2 sio2 PROPN ajst-10984 35 49 ) ) PUNCT ajst-10984 35 50 , , PUNCT ajst-10984 35 51 if if SCONJ ajst-10984 35 52 it it PRON ajst-10984 35 53 is be AUX ajst-10984 35 54 below below ADP ajst-10984 35 55 the the DET ajst-10984 35 56 critical critical ADJ ajst-10984 35 57 value value NOUN ajst-10984 35 58 , , PUNCT ajst-10984 35 59 it it PRON ajst-10984 35 60 indicates indicate VERB ajst-10984 35 61 that that SCONJ ajst-10984 35 62 the the DET ajst-10984 35 63 glass glass NOUN ajst-10984 35 64 is be AUX ajst-10984 35 65 lead lead ADJ ajst-10984 35 66 barium barium NOUN ajst-10984 35 67 glass glass NOUN ajst-10984 35 68 ; ; PUNCT ajst-10984 35 69 for for ADP ajst-10984 35 70 barium barium NOUN ajst-10984 35 71 oxide oxide NOUN ajst-10984 35 72 ( ( PUNCT ajst-10984 35 73 bao bao PROPN ajst-10984 35 74 ) ) PUNCT ajst-10984 35 75 , , PUNCT ajst-10984 35 76 if if SCONJ ajst-10984 35 77 it it PRON ajst-10984 35 78 is be AUX ajst-10984 35 79 below below ADP ajst-10984 35 80 the the DET ajst-10984 35 81 critical critical ADJ ajst-10984 35 82 value value NOUN ajst-10984 35 83 , , PUNCT ajst-10984 35 84 it it PRON ajst-10984 35 85 indicates indicate VERB ajst-10984 35 86 that that SCONJ ajst-10984 35 87 the the DET ajst-10984 35 88 glass glass NOUN ajst-10984 35 89 is be AUX ajst-10984 35 90 high high ADJ ajst-10984 35 91 potassium potassium NOUN ajst-10984 35 92 glass glass NOUN ajst-10984 35 93 ; ; PUNCT ajst-10984 35 94 for for ADP ajst-10984 35 95 barium barium NOUN ajst-10984 35 96 oxide oxide NOUN ajst-10984 35 97 ( ( PUNCT ajst-10984 35 98 bao bao PROPN ajst-10984 35 99 ) ) PUNCT ajst-10984 35 100 , , PUNCT ajst-10984 35 101 if if SCONJ ajst-10984 35 102 it it PRON ajst-10984 35 103 is be AUX ajst-10984 35 104 below below ADP ajst-10984 35 105 the the DET ajst-10984 35 106 critical critical ADJ ajst-10984 35 107 value value NOUN ajst-10984 35 108 , , PUNCT ajst-10984 35 109 it it PRON ajst-10984 35 110 indicates indicate VERB ajst-10984 35 111 that that SCONJ ajst-10984 35 112 the the DET ajst-10984 35 113 glass glass NOUN ajst-10984 35 114 is be AUX ajst-10984 35 115 high high ADJ ajst-10984 35 116 potassium potassium NOUN ajst-10984 35 117 glass glass NOUN ajst-10984 35 118 . . PUNCT ajst-10984 36 1 conduct conduct VERB ajst-10984 36 2 a a DET ajst-10984 36 3 rationality rationality NOUN ajst-10984 36 4 check check NOUN ajst-10984 36 5 on on ADP ajst-10984 36 6 it it PRON ajst-10984 36 7 , , PUNCT ajst-10984 36 8 program program VERB ajst-10984 36 9 it it PRON ajst-10984 36 10 using use VERB ajst-10984 36 11 matlab matlab PROPN ajst-10984 36 12 based base VERB ajst-10984 36 13 on on ADP ajst-10984 36 14 the the DET ajst-10984 36 15 method method NOUN ajst-10984 36 16 used use VERB ajst-10984 36 17 to to PART ajst-10984 36 18 determine determine VERB ajst-10984 36 19 the the DET ajst-10984 36 20 type type NOUN ajst-10984 36 21 of of ADP ajst-10984 36 22 glass glass NOUN ajst-10984 36 23 . . PUNCT ajst-10984 37 1 and and CCONJ ajst-10984 37 2 calculate calculate VERB ajst-10984 37 3 the the DET ajst-10984 37 4 accuracy accuracy NOUN ajst-10984 37 5 based base VERB ajst-10984 37 6 on on ADP ajst-10984 37 7 the the DET ajst-10984 37 8 processed process VERB ajst-10984 37 9 data datum NOUN ajst-10984 37 10 to to PART ajst-10984 37 11 analyze analyze VERB ajst-10984 37 12 the the DET ajst-10984 37 13 rationality rationality NOUN ajst-10984 37 14 of of ADP ajst-10984 37 15 the the DET ajst-10984 37 16 model model NOUN ajst-10984 37 17 . . PUNCT ajst-10984 38 1 the the DET ajst-10984 38 2 results result NOUN ajst-10984 38 3 obtained obtain VERB ajst-10984 38 4 are be AUX ajst-10984 38 5 shown show VERB ajst-10984 38 6 in in ADP ajst-10984 38 7 table.3 table.3 NOUN ajst-10984 38 8 : : PUNCT ajst-10984 38 9 table table NOUN ajst-10984 38 10 3 3 NUM ajst-10984 38 11 . . PUNCT ajst-10984 39 1 accuracy accuracy NOUN ajst-10984 39 2 results result NOUN ajst-10984 39 3 prediction prediction VERB ajst-10984 39 4 actual actual ADJ ajst-10984 39 5 measurement measurement NOUN ajst-10984 39 6 high high ADJ ajst-10984 39 7 potassium potassium NOUN ajst-10984 39 8 lead lead NOUN ajst-10984 39 9 barium barium NOUN ajst-10984 39 10 accuracy accuracy NOUN ajst-10984 39 11 high high ADJ ajst-10984 39 12 potassium potassium NOUN ajst-10984 39 13 17 17 NUM ajst-10984 39 14 1 1 NUM ajst-10984 39 15 94.4 94.4 NUM ajst-10984 39 16 lead lead NOUN ajst-10984 39 17 barium barium NOUN ajst-10984 39 18 1 1 NUM ajst-10984 39 19 48 48 NUM ajst-10984 39 20 98.0 98.0 NUM ajst-10984 39 21 total total ADJ ajst-10984 39 22 precent precent NOUN ajst-10984 39 23 26.9 26.9 NUM ajst-10984 39 24 73.1 73.1 NUM ajst-10984 39 25 97.0 97.0 NUM ajst-10984 39 26 from from ADP ajst-10984 39 27 the the DET ajst-10984 39 28 table table NOUN ajst-10984 39 29 , , PUNCT ajst-10984 39 30 it it PRON ajst-10984 39 31 can can AUX ajst-10984 39 32 be be AUX ajst-10984 39 33 seen see VERB ajst-10984 39 34 that that SCONJ ajst-10984 39 35 the the DET ajst-10984 39 36 accuracy accuracy NOUN ajst-10984 39 37 of of ADP ajst-10984 39 38 the the DET ajst-10984 39 39 model model NOUN ajst-10984 39 40 for for ADP ajst-10984 39 41 determining determine VERB ajst-10984 39 42 the the DET ajst-10984 39 43 glass glass NOUN ajst-10984 39 44 category category NOUN ajst-10984 39 45 is be AUX ajst-10984 39 46 as as ADV ajst-10984 39 47 high high ADJ ajst-10984 39 48 as as ADP ajst-10984 39 49 97 97 NUM ajst-10984 39 50 % % NOUN ajst-10984 39 51 , , PUNCT ajst-10984 39 52 thus thus ADV ajst-10984 39 53 meeting meet VERB ajst-10984 39 54 the the DET ajst-10984 39 55 rationality rationality NOUN ajst-10984 39 56 . . PUNCT ajst-10984 40 1 2.2 2.2 NUM ajst-10984 40 2 . . PUNCT ajst-10984 40 3 establishment establishment NOUN ajst-10984 40 4 and and CCONJ ajst-10984 40 5 solution solution NOUN ajst-10984 40 6 of of ADP ajst-10984 40 7 system system NOUN ajst-10984 40 8 clustering cluster VERB ajst-10984 40 9 model model NOUN ajst-10984 40 10 this this DET ajst-10984 40 11 article article NOUN ajst-10984 40 12 is be AUX ajst-10984 40 13 based base VERB ajst-10984 40 14 on on ADP ajst-10984 40 15 two two NUM ajst-10984 40 16 major major ADJ ajst-10984 40 17 categories category NOUN ajst-10984 40 18 of of ADP ajst-10984 40 19 lead lead ADJ ajst-10984 40 20 barium barium NOUN ajst-10984 40 21 glass glass NOUN ajst-10984 40 22 and and CCONJ ajst-10984 40 23 high high ADJ ajst-10984 40 24 potassium potassium NOUN ajst-10984 40 25 glass glass NOUN ajst-10984 40 26 to to PART ajst-10984 40 27 subdivide subdivide VERB ajst-10984 40 28 their their PRON ajst-10984 40 29 subcategories subcategorie NOUN ajst-10984 40 30 , , PUNCT ajst-10984 40 31 and and CCONJ ajst-10984 40 32 uses use VERB ajst-10984 40 33 systematic systematic ADJ ajst-10984 40 34 clustering clustering NOUN ajst-10984 40 35 method method NOUN ajst-10984 40 36 to to PART ajst-10984 40 37 simulate simulate VERB ajst-10984 40 38 and and CCONJ ajst-10984 40 39 solve solve VERB ajst-10984 40 40 . . PUNCT ajst-10984 41 1 cluster cluster NOUN ajst-10984 41 2 analysis analysis NOUN ajst-10984 41 3 was be AUX ajst-10984 41 4 conducted conduct VERB ajst-10984 41 5 respectively respectively ADV ajst-10984 41 6 on on ADP ajst-10984 41 7 the the DET ajst-10984 41 8 chemical chemical NOUN ajst-10984 41 9 composition composition NOUN ajst-10984 41 10 of of ADP ajst-10984 41 11 lead lead ADJ ajst-10984 41 12 barium barium NOUN ajst-10984 41 13 glass glass NOUN ajst-10984 41 14 and and CCONJ ajst-10984 41 15 high high ADJ ajst-10984 41 16 potassium potassium NOUN ajst-10984 41 17 glass glass NOUN ajst-10984 41 18 . . PUNCT ajst-10984 42 1 according accord VERB ajst-10984 42 2 to to ADP ajst-10984 42 3 the the DET ajst-10984 42 4 distance distance NOUN ajst-10984 42 5 between between ADP ajst-10984 42 6 different different ADJ ajst-10984 42 7 data datum NOUN ajst-10984 42 8 , , PUNCT ajst-10984 42 9 variables variable NOUN ajst-10984 42 10 with with ADP ajst-10984 42 11 similar similar ADJ ajst-10984 42 12 distances distance NOUN ajst-10984 42 13 are be AUX ajst-10984 42 14 first first ADV ajst-10984 42 15 clustered cluster VERB ajst-10984 42 16 into into ADP ajst-10984 42 17 classes class NOUN ajst-10984 42 18 , , PUNCT ajst-10984 42 19 and and CCONJ ajst-10984 42 20 variables variable NOUN ajst-10984 42 21 with with ADP ajst-10984 42 22 farther farth ADJ ajst-10984 42 23 distances distance NOUN ajst-10984 42 24 are be AUX ajst-10984 42 25 then then ADV ajst-10984 42 26 clustered cluster VERB ajst-10984 42 27 into into ADP ajst-10984 42 28 classes class NOUN ajst-10984 42 29 . . PUNCT ajst-10984 42 30 and and CCONJ ajst-10984 42 31 processed process VERB ajst-10984 42 32 in in ADP ajst-10984 42 33 sequence sequence NOUN ajst-10984 42 34 until until SCONJ ajst-10984 42 35 each each DET ajst-10984 42 36 variable variable NOUN ajst-10984 42 37 is be AUX ajst-10984 42 38 classified classify VERB ajst-10984 42 39 into into ADP ajst-10984 42 40 a a DET ajst-10984 42 41 suitable suitable ADJ ajst-10984 42 42 class class NOUN ajst-10984 42 43 . . PUNCT ajst-10984 43 1 according accord VERB ajst-10984 43 2 to to ADP ajst-10984 43 3 the the DET ajst-10984 43 4 above above ADJ ajst-10984 43 5 description description NOUN ajst-10984 43 6 , , PUNCT ajst-10984 43 7 the the DET ajst-10984 43 8 standard standard ADJ ajst-10984 43 9 deviations deviation NOUN ajst-10984 43 10 of of ADP ajst-10984 43 11 different different ADJ ajst-10984 43 12 types type NOUN ajst-10984 43 13 of of ADP ajst-10984 43 14 glass glass NOUN ajst-10984 43 15 were be AUX ajst-10984 43 16 statistically statistically ADV ajst-10984 43 17 extracted extract VERB ajst-10984 43 18 , , PUNCT ajst-10984 43 19 and and CCONJ ajst-10984 43 20 the the DET ajst-10984 43 21 extracted extract VERB ajst-10984 43 22 results result NOUN ajst-10984 43 23 are be AUX ajst-10984 43 24 shown show VERB ajst-10984 43 25 in in ADP ajst-10984 43 26 figure3 figure3 PROPN ajst-10984 43 27 : : PUNCT ajst-10984 43 28 figure figure NOUN ajst-10984 43 29 3 3 NUM ajst-10984 43 30 . . PUNCT ajst-10984 43 31 standard standard ADJ ajst-10984 43 32 deviation deviation NOUN ajst-10984 43 33 of of ADP ajst-10984 43 34 various various ADJ ajst-10984 43 35 chemical chemical ADJ ajst-10984 43 36 components component NOUN ajst-10984 43 37 from from ADP ajst-10984 43 38 the the DET ajst-10984 43 39 figure figure NOUN ajst-10984 43 40 , , PUNCT ajst-10984 43 41 it it PRON ajst-10984 43 42 can can AUX ajst-10984 43 43 be be AUX ajst-10984 43 44 seen see VERB ajst-10984 43 45 that that SCONJ ajst-10984 43 46 in in ADP ajst-10984 43 47 lead lead ADJ ajst-10984 43 48 barium barium NOUN ajst-10984 43 49 glass glass NOUN ajst-10984 43 50 , , PUNCT ajst-10984 43 51 the the DET ajst-10984 43 52 standard standard ADJ ajst-10984 43 53 deviation deviation NOUN ajst-10984 43 54 of of ADP ajst-10984 43 55 silicon silicon NOUN ajst-10984 43 56 dioxide dioxide NOUN ajst-10984 43 57 , , PUNCT ajst-10984 43 58 lead lead VERB ajst-10984 43 59 oxide oxide NOUN ajst-10984 43 60 , , PUNCT ajst-10984 43 61 and and CCONJ ajst-10984 43 62 barium barium NOUN ajst-10984 43 63 oxide oxide NOUN ajst-10984 43 64 is be AUX ajst-10984 43 65 significantly significantly ADV ajst-10984 43 66 higher high ADJ ajst-10984 43 67 than than ADP ajst-10984 43 68 the the DET ajst-10984 43 69 other other ADJ ajst-10984 43 70 indicator indicator NOUN ajst-10984 43 71 values value NOUN ajst-10984 43 72 ; ; PUNCT ajst-10984 43 73 in in ADP ajst-10984 43 74 high high ADJ ajst-10984 43 75 potassium potassium NOUN ajst-10984 43 76 glass glass NOUN ajst-10984 43 77 , , PUNCT ajst-10984 43 78 the the DET ajst-10984 43 79 standard standard ADJ ajst-10984 43 80 deviation deviation NOUN ajst-10984 43 81 of of ADP ajst-10984 43 82 silicon silicon NOUN ajst-10984 43 83 dioxide dioxide NOUN ajst-10984 43 84 , , PUNCT ajst-10984 43 85 potassium potassium NOUN ajst-10984 43 86 oxide oxide NOUN ajst-10984 43 87 , , PUNCT ajst-10984 43 88 and and CCONJ ajst-10984 43 89 calcium calcium NOUN ajst-10984 43 90 oxide oxide NOUN ajst-10984 43 91 is be AUX ajst-10984 43 92 significantly significantly ADV ajst-10984 43 93 greater great ADJ ajst-10984 43 94 than than ADP ajst-10984 43 95 the the DET ajst-10984 43 96 other other ADJ ajst-10984 43 97 indicator indicator NOUN ajst-10984 43 98 values value NOUN ajst-10984 43 99 . . PUNCT ajst-10984 44 1 for for ADP ajst-10984 44 2 the the DET ajst-10984 44 3 standard standard ADJ ajst-10984 44 4 deviation deviation NOUN ajst-10984 44 5 , , PUNCT ajst-10984 44 6 the the PRON ajst-10984 44 7 larger large ADJ ajst-10984 44 8 the the DET ajst-10984 44 9 standard standard ADJ ajst-10984 44 10 deviation deviation NOUN ajst-10984 44 11 of of ADP ajst-10984 44 12 the the DET ajst-10984 44 13 indicator indicator NOUN ajst-10984 44 14 , , PUNCT ajst-10984 44 15 the the DET ajst-10984 44 16 greater great ADJ ajst-10984 44 17 the the DET ajst-10984 44 18 amount amount NOUN ajst-10984 44 19 of of ADP ajst-10984 44 20 information information NOUN ajst-10984 44 21 contained contain VERB ajst-10984 44 22 in in ADP ajst-10984 44 23 the the DET ajst-10984 44 24 0 0 NUM ajst-10984 44 25 2 2 NUM ajst-10984 44 26 4 4 NUM ajst-10984 44 27 6 6 NUM ajst-10984 44 28 8 8 NUM ajst-10984 44 29 10 10 NUM ajst-10984 44 30 12 12 NUM ajst-10984 44 31 14 14 NUM ajst-10984 44 32 16 16 NUM ajst-10984 44 33 18 18 NUM ajst-10984 44 34 20 20 NUM ajst-10984 44 35 na2o na2o ADJ ajst-10984 44 36 p2o5 p2o5 AUX ajst-10984 44 37 sro sro VERB ajst-10984 44 38 so2 so2 PROPN ajst-10984 44 39 sno2 sno2 PROPN ajst-10984 44 40 bao bao PROPN ajst-10984 44 41 cao cao PROPN ajst-10984 44 42 al2o3 al2o3 PROPN ajst-10984 44 43 sio2 sio2 PROPN ajst-10984 44 44 pbo pbo PROPN ajst-10984 44 45 cuo cuo PROPN ajst-10984 44 46 k2o k2o PROPN ajst-10984 44 47 fe2o3 fe2o3 PROPN ajst-10984 44 48 mgo mgo PROPN ajst-10984 44 49 standard standard ADJ ajst-10984 44 50 deviacionaf deviacionaf PROPN ajst-10984 44 51 high high ADJ ajst-10984 44 52 potassum potassum ADJ ajst-10984 44 53 glsss glsss PROPN ajst-10984 44 54 standard standard ADJ ajst-10984 44 55 doviation doviation NOUN ajst-10984 44 56 of of ADP ajst-10984 44 57 lesd lesd X ajst-10984 44 58 barum barum NOUN ajst-10984 44 59 glass glass NOUN ajst-10984 44 60 34 34 NUM ajst-10984 44 61 indicator indicator NOUN ajst-10984 44 62 . . PUNCT ajst-10984 45 1 therefore therefore ADV ajst-10984 45 2 , , PUNCT ajst-10984 45 3 this this DET ajst-10984 45 4 article article NOUN ajst-10984 45 5 selects select VERB ajst-10984 45 6 appropriate appropriate ADJ ajst-10984 45 7 chemical chemical ADJ ajst-10984 45 8 indicators indicator NOUN ajst-10984 45 9 based base VERB ajst-10984 45 10 on on ADP ajst-10984 45 11 the the DET ajst-10984 45 12 value value NOUN ajst-10984 45 13 of of ADP ajst-10984 45 14 standard standard ADJ ajst-10984 45 15 deviation deviation NOUN ajst-10984 45 16 . . PUNCT ajst-10984 46 1 finally finally ADV ajst-10984 46 2 , , PUNCT ajst-10984 46 3 for for ADP ajst-10984 46 4 lead lead ADJ ajst-10984 46 5 barium barium NOUN ajst-10984 46 6 glass glass NOUN ajst-10984 46 7 , , PUNCT ajst-10984 46 8 this this DET ajst-10984 46 9 article article NOUN ajst-10984 46 10 selects select VERB ajst-10984 46 11 silicon silicon NOUN ajst-10984 46 12 dioxide dioxide NOUN ajst-10984 46 13 , , PUNCT ajst-10984 46 14 lead lead VERB ajst-10984 46 15 oxide oxide NOUN ajst-10984 46 16 , , PUNCT ajst-10984 46 17 and and CCONJ ajst-10984 46 18 barium barium NOUN ajst-10984 46 19 oxide oxide NOUN ajst-10984 46 20 as as ADP ajst-10984 46 21 subcategory subcategory ADJ ajst-10984 46 22 classification classification NOUN ajst-10984 46 23 indicators indicator NOUN ajst-10984 46 24 ; ; PUNCT ajst-10984 46 25 for for ADP ajst-10984 46 26 high high ADJ ajst-10984 46 27 potassium potassium NOUN ajst-10984 46 28 glass glass NOUN ajst-10984 46 29 , , PUNCT ajst-10984 46 30 this this DET ajst-10984 46 31 article article NOUN ajst-10984 46 32 selects select VERB ajst-10984 46 33 silicon silicon NOUN ajst-10984 46 34 dioxide dioxide NOUN ajst-10984 46 35 , , PUNCT ajst-10984 46 36 potassium potassium NOUN ajst-10984 46 37 oxide oxide NOUN ajst-10984 46 38 , , PUNCT ajst-10984 46 39 and and CCONJ ajst-10984 46 40 calcium calcium NOUN ajst-10984 46 41 oxide oxide NOUN ajst-10984 46 42 as as ADP ajst-10984 46 43 subcategory subcategory ADJ ajst-10984 46 44 classification classification NOUN ajst-10984 46 45 indicators indicator NOUN ajst-10984 46 46 . . PUNCT ajst-10984 47 1 in in ADP ajst-10984 47 2 this this DET ajst-10984 47 3 paper paper NOUN ajst-10984 47 4 , , PUNCT ajst-10984 47 5 spss spss PROPN ajst-10984 47 6 is be AUX ajst-10984 47 7 used use VERB ajst-10984 47 8 for for ADP ajst-10984 47 9 systematic systematic ADJ ajst-10984 47 10 clustering clustering NOUN ajst-10984 47 11 . . PUNCT ajst-10984 48 1 and and CCONJ ajst-10984 48 2 the the DET ajst-10984 48 3 clustering clustering ADJ ajst-10984 48 4 pedigree pedigree ADJ ajst-10984 48 5 chart chart NOUN ajst-10984 48 6 and and CCONJ ajst-10984 48 7 the the DET ajst-10984 48 8 line line NOUN ajst-10984 48 9 chart chart NOUN ajst-10984 48 10 of of ADP ajst-10984 48 11 polymerization polymerization NOUN ajst-10984 48 12 coefficient coefficient NOUN ajst-10984 48 13 obtained obtain VERB ajst-10984 48 14 . . PUNCT ajst-10984 49 1 the the DET ajst-10984 49 2 results result NOUN ajst-10984 49 3 are be AUX ajst-10984 49 4 shown show VERB ajst-10984 49 5 in in ADP ajst-10984 49 6 figure4 figure4 ADJ ajst-10984 49 7 : : PUNCT ajst-10984 49 8 figure figure NOUN ajst-10984 49 9 4 4 NUM ajst-10984 49 10 . . PUNCT ajst-10984 49 11 cluster cluster NOUN ajst-10984 49 12 pedigree pedigree NOUN ajst-10984 49 13 diagram diagram PROPN ajst-10984 49 14 and and CCONJ ajst-10984 49 15 line line NOUN ajst-10984 49 16 chart chart NOUN ajst-10984 49 17 of of ADP ajst-10984 49 18 polymerization polymerization NOUN ajst-10984 49 19 coefficient coefficient NOUN ajst-10984 49 20 of of ADP ajst-10984 49 21 high high ADJ ajst-10984 49 22 potassium potassium NOUN ajst-10984 49 23 glass glass NOUN ajst-10984 49 24 according accord VERB ajst-10984 49 25 to to ADP ajst-10984 49 26 the the DET ajst-10984 49 27 line line NOUN ajst-10984 49 28 chart chart NOUN ajst-10984 49 29 of of ADP ajst-10984 49 30 polymerization polymerization NOUN ajst-10984 49 31 coefficient coefficient NOUN ajst-10984 49 32 , , PUNCT ajst-10984 49 33 for for ADP ajst-10984 49 34 high high ADJ ajst-10984 49 35 potassium potassium NOUN ajst-10984 49 36 glass glass NOUN ajst-10984 49 37 , , PUNCT ajst-10984 49 38 when when SCONJ ajst-10984 49 39 the the DET ajst-10984 49 40 number number NOUN ajst-10984 49 41 of of ADP ajst-10984 49 42 categories category NOUN ajst-10984 49 43 is be AUX ajst-10984 49 44 3 3 NUM ajst-10984 49 45 , , PUNCT ajst-10984 49 46 the the DET ajst-10984 49 47 downward downward ADJ ajst-10984 49 48 trend trend NOUN ajst-10984 49 49 of of ADP ajst-10984 49 50 the the DET ajst-10984 49 51 broken broken ADJ ajst-10984 49 52 line line NOUN ajst-10984 49 53 becomes become VERB ajst-10984 49 54 slow slow ADJ ajst-10984 49 55 - - PUNCT ajst-10984 49 56 er er INTJ ajst-10984 49 57 , , PUNCT ajst-10984 49 58 and and CCONJ ajst-10984 49 59 when when SCONJ ajst-10984 49 60 the the DET ajst-10984 49 61 k k PROPN ajst-10984 49 62 value value NOUN ajst-10984 49 63 is be AUX ajst-10984 49 64 from from ADP ajst-10984 49 65 1 1 NUM ajst-10984 49 66 to to ADP ajst-10984 49 67 3 3 NUM ajst-10984 49 68 , , PUNCT ajst-10984 49 69 the the DET ajst-10984 49 70 distortion distortion NOUN ajst-10984 49 71 degree degree NOUN ajst-10984 49 72 changes change NOUN ajst-10984 49 73 most most ADJ ajst-10984 49 74 . . PUNCT ajst-10984 50 1 after after ADP ajst-10984 50 2 exceed exceed NOUN ajst-10984 50 3 - - PUNCT ajst-10984 50 4 ing ing ADJ ajst-10984 50 5 3 3 NUM ajst-10984 50 6 , , PUNCT ajst-10984 50 7 the the DET ajst-10984 50 8 degree degree NOUN ajst-10984 50 9 of of ADP ajst-10984 50 10 distortion distortion NOUN ajst-10984 50 11 significantly significantly ADV ajst-10984 50 12 decreases decrease VERB ajst-10984 50 13 . . PUNCT ajst-10984 51 1 therefore therefore ADV ajst-10984 51 2 , , PUNCT ajst-10984 51 3 the the DET ajst-10984 51 4 elbow elbow NOUN ajst-10984 51 5 is be AUX ajst-10984 51 6 k=3 k=3 X ajst-10984 51 7 , , PUNCT ajst-10984 51 8 so so ADV ajst-10984 51 9 the the DET ajst-10984 51 10 number number NOUN ajst-10984 51 11 of of ADP ajst-10984 51 12 categories category NOUN ajst-10984 51 13 can can AUX ajst-10984 51 14 be be AUX ajst-10984 51 15 set set VERB ajst-10984 51 16 to to ADP ajst-10984 51 17 3 3 NUM ajst-10984 51 18 . . PUNCT ajst-10984 52 1 therefore therefore ADV ajst-10984 52 2 , , PUNCT ajst-10984 52 3 this this DET ajst-10984 52 4 article article NOUN ajst-10984 52 5 sets set VERB ajst-10984 52 6 the the DET ajst-10984 52 7 number number NOUN ajst-10984 52 8 of of ADP ajst-10984 52 9 subcatego subcatego ADJ ajst-10984 52 10 - - PUNCT ajst-10984 52 11 ries rie NOUN ajst-10984 52 12 for for ADP ajst-10984 52 13 high high ADJ ajst-10984 52 14 potassium potassium NOUN ajst-10984 52 15 glass glass NOUN ajst-10984 52 16 classification classification NOUN ajst-10984 52 17 to to ADP ajst-10984 52 18 3 3 NUM ajst-10984 52 19 categories category NOUN ajst-10984 52 20 . . PUNCT ajst-10984 53 1 the the DET ajst-10984 53 2 visualization visualization NOUN ajst-10984 53 3 diagram diagram NOUN ajst-10984 53 4 is be AUX ajst-10984 53 5 shown show VERB ajst-10984 53 6 in in ADP ajst-10984 53 7 figure figure NOUN ajst-10984 53 8 5 5 NUM ajst-10984 53 9 : : PUNCT ajst-10984 53 10 figure figure NOUN ajst-10984 53 11 5 5 NUM ajst-10984 53 12 . . PUNCT ajst-10984 53 13 cluster cluster NOUN ajst-10984 53 14 grouping grouping NOUN ajst-10984 53 15 of of ADP ajst-10984 53 16 high high ADJ ajst-10984 53 17 potassium potassium NOUN ajst-10984 53 18 glass glass NOUN ajst-10984 53 19 according accord VERB ajst-10984 53 20 to to ADP ajst-10984 53 21 the the DET ajst-10984 53 22 three three NUM ajst-10984 53 23 - - PUNCT ajst-10984 53 24 dimensional dimensional ADJ ajst-10984 53 25 scatter scatter NOUN ajst-10984 53 26 plot plot NOUN ajst-10984 53 27 , , PUNCT ajst-10984 53 28 it it PRON ajst-10984 53 29 can can AUX ajst-10984 53 30 be be AUX ajst-10984 53 31 found find VERB ajst-10984 53 32 that that SCONJ ajst-10984 53 33 the the DET ajst-10984 53 34 content content NOUN ajst-10984 53 35 of of ADP ajst-10984 53 36 calcium calcium NOUN ajst-10984 53 37 oxide oxide NOUN ajst-10984 53 38 in in ADP ajst-10984 53 39 group group NOUN ajst-10984 53 40 one one NOUN ajst-10984 53 41 is be AUX ajst-10984 53 42 significantly significantly ADV ajst-10984 53 43 higher high ADJ ajst-10984 53 44 than than ADP ajst-10984 53 45 that that PRON ajst-10984 53 46 in in ADP ajst-10984 53 47 the the DET ajst-10984 53 48 other other ADJ ajst-10984 53 49 two two NUM ajst-10984 53 50 groups group NOUN ajst-10984 53 51 , , PUNCT ajst-10984 53 52 which which PRON ajst-10984 53 53 can can AUX ajst-10984 53 54 be be AUX ajst-10984 53 55 defined define VERB ajst-10984 53 56 as as ADP ajst-10984 53 57 the the DET ajst-10984 53 58 high high ADJ ajst-10984 53 59 calcium calcium NOUN ajst-10984 53 60 oxide oxide NOUN ajst-10984 53 61 group group NOUN ajst-10984 53 62 ; ; PUNCT ajst-10984 53 63 the the DET ajst-10984 53 64 content content NOUN ajst-10984 53 65 of of ADP ajst-10984 53 66 silica silica NOUN ajst-10984 53 67 in in ADP ajst-10984 53 68 group group NOUN ajst-10984 53 69 three three NUM ajst-10984 53 70 is be AUX ajst-10984 53 71 significantly significantly ADV ajst-10984 53 72 higher high ADJ ajst-10984 53 73 than than ADP ajst-10984 53 74 that that PRON ajst-10984 53 75 in in ADP ajst-10984 53 76 the the DET ajst-10984 53 77 other other ADJ ajst-10984 53 78 two two NUM ajst-10984 53 79 groups group NOUN ajst-10984 53 80 , , PUNCT ajst-10984 53 81 which which PRON ajst-10984 53 82 can can AUX ajst-10984 53 83 be be AUX ajst-10984 53 84 defined define VERB ajst-10984 53 85 as as ADP ajst-10984 53 86 the the DET ajst-10984 53 87 high high ADJ ajst-10984 53 88 silica silica NOUN ajst-10984 53 89 group group NOUN ajst-10984 53 90 ; ; PUNCT ajst-10984 53 91 group group NOUN ajst-10984 53 92 2 2 NUM ajst-10984 53 93 can can AUX ajst-10984 53 94 be be AUX ajst-10984 53 95 defined define VERB ajst-10984 53 96 as as ADP ajst-10984 53 97 the the DET ajst-10984 53 98 low low ADJ ajst-10984 53 99 silica silica NOUN ajst-10984 53 100 and and CCONJ ajst-10984 53 101 low low ADJ ajst-10984 53 102 calcium calcium NOUN ajst-10984 53 103 oxide oxide NOUN ajst-10984 53 104 group group NOUN ajst-10984 53 105 based base VERB ajst-10984 53 106 on on ADP ajst-10984 53 107 the the DET ajst-10984 53 108 other other ADJ ajst-10984 53 109 two two NUM ajst-10984 53 110 groups group NOUN ajst-10984 53 111 . . PUNCT ajst-10984 54 1 similarly similarly ADV ajst-10984 54 2 , , PUNCT ajst-10984 54 3 the the DET ajst-10984 54 4 cluster cluster NOUN ajst-10984 54 5 pedigree pedigree NOUN ajst-10984 54 6 diagram diagram PROPN ajst-10984 54 7 and and CCONJ ajst-10984 54 8 line line NOUN ajst-10984 54 9 chart chart NOUN ajst-10984 54 10 of of ADP ajst-10984 54 11 polymerization polymerization NOUN ajst-10984 54 12 coefficient coefficient NOUN ajst-10984 54 13 of of ADP ajst-10984 54 14 lead lead ADJ ajst-10984 54 15 barium barium NOUN ajst-10984 54 16 glass glass NOUN ajst-10984 54 17 are be AUX ajst-10984 54 18 shown show VERB ajst-10984 54 19 in in ADP ajst-10984 54 20 figure6 figure6 NOUN ajst-10984 54 21 : : PUNCT ajst-10984 54 22 0 0 NUM ajst-10984 54 23 100 100 NUM ajst-10984 54 24 200 200 NUM ajst-10984 54 25 300 300 NUM ajst-10984 54 26 400 400 NUM ajst-10984 54 27 500 500 NUM ajst-10984 54 28 600 600 NUM ajst-10984 54 29 700 700 NUM ajst-10984 54 30 800 800 NUM ajst-10984 54 31 900 900 NUM ajst-10984 54 32 1000 1000 NUM ajst-10984 54 33 1 1 NUM ajst-10984 54 34 2 2 NUM ajst-10984 54 35 3 3 NUM ajst-10984 54 36 4 4 NUM ajst-10984 54 37 5 5 NUM ajst-10984 54 38 6 6 NUM ajst-10984 54 39 7 7 NUM ajst-10984 54 40 8 8 NUM ajst-10984 54 41 9 9 NUM ajst-10984 54 42 101112131415161718 101112131415161718 NUM ajst-10984 54 43 35 35 NUM ajst-10984 54 44 figure figure NOUN ajst-10984 54 45 6 6 NUM ajst-10984 54 46 . . PUNCT ajst-10984 54 47 clustering cluster VERB ajst-10984 54 48 pedigree pedigree ADJ ajst-10984 54 49 diagram diagram NOUN ajst-10984 54 50 and and CCONJ ajst-10984 54 51 line line NOUN ajst-10984 54 52 chart chart NOUN ajst-10984 54 53 of of ADP ajst-10984 54 54 polymerization polymerization NOUN ajst-10984 54 55 coefficient coefficient NOUN ajst-10984 54 56 of of ADP ajst-10984 54 57 lead lead ADJ ajst-10984 54 58 barium barium NOUN ajst-10984 54 59 glass glass NOUN ajst-10984 54 60 according accord VERB ajst-10984 54 61 to to ADP ajst-10984 54 62 the the DET ajst-10984 54 63 line line NOUN ajst-10984 54 64 chart chart NOUN ajst-10984 54 65 of of ADP ajst-10984 54 66 polymerization polymerization NOUN ajst-10984 54 67 coefficient coefficient NOUN ajst-10984 54 68 , , PUNCT ajst-10984 54 69 for for ADP ajst-10984 54 70 lead lead ADJ ajst-10984 54 71 barium barium NOUN ajst-10984 54 72 glass glass NOUN ajst-10984 54 73 , , PUNCT ajst-10984 54 74 when when SCONJ ajst-10984 54 75 the the DET ajst-10984 54 76 number number NOUN ajst-10984 54 77 of of ADP ajst-10984 54 78 categories category NOUN ajst-10984 54 79 is be AUX ajst-10984 54 80 5 5 NUM ajst-10984 54 81 , , PUNCT ajst-10984 54 82 the the DET ajst-10984 54 83 downward downward ADJ ajst-10984 54 84 trend trend NOUN ajst-10984 54 85 of of ADP ajst-10984 54 86 the the DET ajst-10984 54 87 broken broken ADJ ajst-10984 54 88 line line NOUN ajst-10984 54 89 becomes become VERB ajst-10984 54 90 slower slow ADJ ajst-10984 54 91 , , PUNCT ajst-10984 54 92 and and CCONJ ajst-10984 54 93 when when SCONJ ajst-10984 54 94 the the DET ajst-10984 54 95 k k PROPN ajst-10984 54 96 value value NOUN ajst-10984 54 97 is be AUX ajst-10984 54 98 from from ADP ajst-10984 54 99 1 1 NUM ajst-10984 54 100 to to ADP ajst-10984 54 101 5 5 NUM ajst-10984 54 102 , , PUNCT ajst-10984 54 103 the the DET ajst-10984 54 104 distortion distortion NOUN ajst-10984 54 105 degree degree NOUN ajst-10984 54 106 changes change NOUN ajst-10984 54 107 most most ADV ajst-10984 54 108 . . PUNCT ajst-10984 55 1 after after ADP ajst-10984 55 2 exceeding exceed VERB ajst-10984 55 3 5 5 NUM ajst-10984 55 4 , , PUNCT ajst-10984 55 5 the the DET ajst-10984 55 6 degree degree NOUN ajst-10984 55 7 of of ADP ajst-10984 55 8 distortion distortion NOUN ajst-10984 55 9 significantly significantly ADV ajst-10984 55 10 decreases decrease VERB ajst-10984 55 11 . . PUNCT ajst-10984 56 1 therefore therefore ADV ajst-10984 56 2 , , PUNCT ajst-10984 56 3 the the DET ajst-10984 56 4 elbow elbow NOUN ajst-10984 56 5 is be AUX ajst-10984 56 6 k=5 k=5 PROPN ajst-10984 56 7 , , PUNCT ajst-10984 56 8 so so CCONJ ajst-10984 56 9 the the DET ajst-10984 56 10 num num PROPN ajst-10984 56 11 - - PUNCT ajst-10984 56 12 ber ber NOUN ajst-10984 56 13 of of ADP ajst-10984 56 14 categories category NOUN ajst-10984 56 15 can can AUX ajst-10984 56 16 be be AUX ajst-10984 56 17 set set VERB ajst-10984 56 18 to to ADP ajst-10984 56 19 5 5 NUM ajst-10984 56 20 . . PUNCT ajst-10984 57 1 therefore therefore ADV ajst-10984 57 2 , , PUNCT ajst-10984 57 3 this this DET ajst-10984 57 4 article article NOUN ajst-10984 57 5 sets set VERB ajst-10984 57 6 the the DET ajst-10984 57 7 number number NOUN ajst-10984 57 8 of of ADP ajst-10984 57 9 subcategories subcategorie NOUN ajst-10984 57 10 for for ADP ajst-10984 57 11 lead lead ADJ ajst-10984 57 12 barium barium NOUN ajst-10984 57 13 glass glass NOUN ajst-10984 57 14 classification classification NOUN ajst-10984 57 15 to to ADP ajst-10984 57 16 5 5 NUM ajst-10984 57 17 categories category NOUN ajst-10984 57 18 . . PUNCT ajst-10984 58 1 the the DET ajst-10984 58 2 visualization visualization NOUN ajst-10984 58 3 diagram diagram NOUN ajst-10984 58 4 is be AUX ajst-10984 58 5 shown show VERB ajst-10984 58 6 in in ADP ajst-10984 58 7 figure figure NOUN ajst-10984 58 8 6 6 NUM ajst-10984 58 9 : : PUNCT ajst-10984 58 10 figure figure NOUN ajst-10984 58 11 6 6 NUM ajst-10984 58 12 . . PUNCT ajst-10984 58 13 cluster cluster NOUN ajst-10984 58 14 grouping grouping NOUN ajst-10984 58 15 of of ADP ajst-10984 58 16 lead lead ADJ ajst-10984 58 17 barium barium NOUN ajst-10984 58 18 glass glass NOUN ajst-10984 58 19 according accord VERB ajst-10984 58 20 to to ADP ajst-10984 58 21 the the DET ajst-10984 58 22 three three NUM ajst-10984 58 23 - - PUNCT ajst-10984 58 24 dimensional dimensional ADJ ajst-10984 58 25 scatter scatter NOUN ajst-10984 58 26 plot plot NOUN ajst-10984 58 27 on on ADP ajst-10984 58 28 the the DET ajst-10984 58 29 left left NOUN ajst-10984 58 30 , , PUNCT ajst-10984 58 31 it it PRON ajst-10984 58 32 can can AUX ajst-10984 58 33 be be AUX ajst-10984 58 34 found find VERB ajst-10984 58 35 that that SCONJ ajst-10984 58 36 the the DET ajst-10984 58 37 content content NOUN ajst-10984 58 38 of of ADP ajst-10984 58 39 silicon silicon NOUN ajst-10984 58 40 dioxide dioxide NOUN ajst-10984 58 41 in in ADP ajst-10984 58 42 group group NOUN ajst-10984 58 43 three three NUM ajst-10984 58 44 is be AUX ajst-10984 58 45 significantly significantly ADV ajst-10984 58 46 higher high ADJ ajst-10984 58 47 than than ADP ajst-10984 58 48 that that PRON ajst-10984 58 49 of of ADP ajst-10984 58 50 other other ADJ ajst-10984 58 51 groups group NOUN ajst-10984 58 52 , , PUNCT ajst-10984 58 53 which which PRON ajst-10984 58 54 can can AUX ajst-10984 58 55 be be AUX ajst-10984 58 56 defined define VERB ajst-10984 58 57 as as ADP ajst-10984 58 58 the the DET ajst-10984 58 59 high high ADJ ajst-10984 58 60 silicon silicon NOUN ajst-10984 58 61 dioxide dioxide NOUN ajst-10984 58 62 group group NOUN ajst-10984 58 63 ; ; PUNCT ajst-10984 58 64 the the DET ajst-10984 58 65 content content NOUN ajst-10984 58 66 of of ADP ajst-10984 58 67 barium barium NOUN ajst-10984 58 68 oxide oxide NOUN ajst-10984 58 69 in in ADP ajst-10984 58 70 group group NOUN ajst-10984 58 71 five five NUM ajst-10984 58 72 is be AUX ajst-10984 58 73 significantly significantly ADV ajst-10984 58 74 higher high ADJ ajst-10984 58 75 than than ADP ajst-10984 58 76 that that PRON ajst-10984 58 77 in in ADP ajst-10984 58 78 other other ADJ ajst-10984 58 79 groups group NOUN ajst-10984 58 80 , , PUNCT ajst-10984 58 81 which which PRON ajst-10984 58 82 can can AUX ajst-10984 58 83 be be AUX ajst-10984 58 84 defined define VERB ajst-10984 58 85 as as ADP ajst-10984 58 86 the the DET ajst-10984 58 87 high high ADJ ajst-10984 58 88 barium barium NOUN ajst-10984 58 89 oxide oxide NOUN ajst-10984 58 90 group group NOUN ajst-10984 58 91 ; ; PUNCT ajst-10984 58 92 the the DET ajst-10984 58 93 content content NOUN ajst-10984 58 94 of of ADP ajst-10984 58 95 silicon silicon NOUN ajst-10984 58 96 dioxide dioxide NOUN ajst-10984 58 97 in in ADP ajst-10984 58 98 group group PROPN ajst-10984 58 99 two two NUM ajst-10984 58 100 is be AUX ajst-10984 58 101 only only ADV ajst-10984 58 102 lower low ADJ ajst-10984 58 103 than than ADP ajst-10984 58 104 that that PRON ajst-10984 58 105 in in ADP ajst-10984 58 106 group group NOUN ajst-10984 58 107 three three NUM ajst-10984 58 108 and and CCONJ ajst-10984 58 109 significantly significantly ADV ajst-10984 58 110 higher high ADJ ajst-10984 58 111 than than ADP ajst-10984 58 112 that that PRON ajst-10984 58 113 of of ADP ajst-10984 58 114 other other ADJ ajst-10984 58 115 groups group NOUN ajst-10984 58 116 , , PUNCT ajst-10984 58 117 which which PRON ajst-10984 58 118 can can AUX ajst-10984 58 119 be be AUX ajst-10984 58 120 defined define VERB ajst-10984 58 121 as as ADP ajst-10984 58 122 the the DET ajst-10984 58 123 higher high ADJ ajst-10984 58 124 silicon silicon NOUN ajst-10984 58 125 dioxide dioxide NOUN ajst-10984 58 126 group group NOUN ajst-10984 58 127 ; ; PUNCT ajst-10984 58 128 according accord VERB ajst-10984 58 129 to to ADP ajst-10984 58 130 the the DET ajst-10984 58 131 three three NUM ajst-10984 58 132 - - PUNCT ajst-10984 58 133 dimensional dimensional ADJ ajst-10984 58 134 scatter scatter NOUN ajst-10984 58 135 plot plot NOUN ajst-10984 58 136 on on ADP ajst-10984 58 137 the the DET ajst-10984 58 138 right right NOUN ajst-10984 58 139 , , PUNCT ajst-10984 58 140 it it PRON ajst-10984 58 141 can can AUX ajst-10984 58 142 be be AUX ajst-10984 58 143 found find VERB ajst-10984 58 144 that that SCONJ ajst-10984 58 145 the the DET ajst-10984 58 146 content content NOUN ajst-10984 58 147 of of ADP ajst-10984 58 148 lead lead ADJ ajst-10984 58 149 oxide oxide NOUN ajst-10984 58 150 in in ADP ajst-10984 58 151 group group NOUN ajst-10984 58 152 one one NOUN ajst-10984 58 153 is be AUX ajst-10984 58 154 significantly significantly ADV ajst-10984 58 155 higher high ADJ ajst-10984 58 156 than than ADP ajst-10984 58 157 that that PRON ajst-10984 58 158 in in ADP ajst-10984 58 159 other other ADJ ajst-10984 58 160 groups group NOUN ajst-10984 58 161 , , PUNCT ajst-10984 58 162 which which PRON ajst-10984 58 163 can can AUX ajst-10984 58 164 be be AUX ajst-10984 58 165 defined define VERB ajst-10984 58 166 as as ADP ajst-10984 58 167 the the DET ajst-10984 58 168 high high ADJ ajst-10984 58 169 lead lead NOUN ajst-10984 58 170 oxide oxide NOUN ajst-10984 58 171 group group NOUN ajst-10984 58 172 ; ; PUNCT ajst-10984 58 173 the the DET ajst-10984 58 174 content content NOUN ajst-10984 58 175 of of ADP ajst-10984 58 176 lead lead ADJ ajst-10984 58 177 oxide oxide NOUN ajst-10984 58 178 in in ADP ajst-10984 58 179 group group NOUN ajst-10984 58 180 four four NUM ajst-10984 58 181 is be AUX ajst-10984 58 182 only only ADV ajst-10984 58 183 lower low ADJ ajst-10984 58 184 than than ADP ajst-10984 58 185 group group NOUN ajst-10984 58 186 one one NUM ajst-10984 58 187 and and CCONJ ajst-10984 58 188 significantly significantly ADV ajst-10984 58 189 higher high ADJ ajst-10984 58 190 than than ADP ajst-10984 58 191 the the DET ajst-10984 58 192 other other ADJ ajst-10984 58 193 groups group NOUN ajst-10984 58 194 , , PUNCT ajst-10984 58 195 which which PRON ajst-10984 58 196 can can AUX ajst-10984 58 197 be be AUX ajst-10984 58 198 defined define VERB ajst-10984 58 199 as as ADP ajst-10984 58 200 the the DET ajst-10984 58 201 higher high ADJ ajst-10984 58 202 lead lead NOUN ajst-10984 58 203 oxide oxide NOUN ajst-10984 58 204 group group NOUN ajst-10984 58 205 . . PUNCT ajst-10984 59 1 in in ADP ajst-10984 59 2 summary summary NOUN ajst-10984 59 3 , , PUNCT ajst-10984 59 4 the the DET ajst-10984 59 5 subclass subclass NOUN ajst-10984 59 6 classification classification NOUN ajst-10984 59 7 results result NOUN ajst-10984 59 8 of of ADP ajst-10984 59 9 the the DET ajst-10984 59 10 two two NUM ajst-10984 59 11 major major ADJ ajst-10984 59 12 types type NOUN ajst-10984 59 13 of of ADP ajst-10984 59 14 glass glass NOUN ajst-10984 59 15 are be AUX ajst-10984 59 16 shown show VERB ajst-10984 59 17 in in ADP ajst-10984 59 18 table.4 table.4 ADJ ajst-10984 59 19 : : SYM ajst-10984 59 20 0 0 NUM ajst-10984 59 21 500 500 NUM ajst-10984 59 22 1000 1000 NUM ajst-10984 59 23 1500 1500 NUM ajst-10984 59 24 2000 2000 NUM ajst-10984 59 25 2500 2500 NUM ajst-10984 59 26 1 1 NUM ajst-10984 59 27 4 4 NUM ajst-10984 59 28 7 7 NUM ajst-10984 59 29 10131619222528313437404346 10131619222528313437404346 NUM ajst-10984 59 30 36 36 NUM ajst-10984 59 31 table table NOUN ajst-10984 59 32 4 4 NUM ajst-10984 59 33 . . PUNCT ajst-10984 59 34 subclass subclass NOUN ajst-10984 59 35 classification classification NOUN ajst-10984 59 36 table table NOUN ajst-10984 59 37 grouping grouping NOUN ajst-10984 59 38 of of ADP ajst-10984 59 39 subclasses subclass NOUN ajst-10984 59 40 of of ADP ajst-10984 59 41 high high ADJ ajst-10984 59 42 potassium potassium NOUN ajst-10984 59 43 glass glass NOUN ajst-10984 59 44 names name NOUN ajst-10984 59 45 1 1 NUM ajst-10984 59 46 high high ADJ ajst-10984 59 47 cao cao PROPN ajst-10984 59 48 class class NOUN ajst-10984 59 49 2 2 NUM ajst-10984 59 50 low low NOUN ajst-10984 59 51 sio2 sio2 PROPN ajst-10984 59 52 and and CCONJ ajst-10984 59 53 cao cao PROPN ajst-10984 59 54 class class PROPN ajst-10984 59 55 3 3 NUM ajst-10984 59 56 high high ADJ ajst-10984 59 57 sio2 sio2 PROPN ajst-10984 59 58 class class NOUN ajst-10984 59 59 grouping grouping NOUN ajst-10984 59 60 of of ADP ajst-10984 59 61 subclasses subclass NOUN ajst-10984 59 62 of of ADP ajst-10984 59 63 lead lead ADJ ajst-10984 59 64 barium barium NOUN ajst-10984 59 65 glass glass NOUN ajst-10984 59 66 names name NOUN ajst-10984 59 67 1 1 NUM ajst-10984 59 68 high high ADJ ajst-10984 59 69 pbo pbo NOUN ajst-10984 59 70 class class NOUN ajst-10984 59 71 2 2 NUM ajst-10984 59 72 relatively relatively ADV ajst-10984 59 73 high high ADJ ajst-10984 59 74 sio2 sio2 PROPN ajst-10984 59 75 class class NOUN ajst-10984 59 76 3 3 NUM ajst-10984 59 77 high high ADJ ajst-10984 59 78 sio2 sio2 PROPN ajst-10984 59 79 class class NOUN ajst-10984 59 80 4 4 NUM ajst-10984 59 81 relatively relatively ADV ajst-10984 59 82 high high ADJ ajst-10984 59 83 pbo pbo NOUN ajst-10984 59 84 class class NOUN ajst-10984 59 85 5 5 NUM ajst-10984 59 86 high high ADJ ajst-10984 59 87 bao bao PROPN ajst-10984 59 88 class class NOUN ajst-10984 59 89 3 3 NUM ajst-10984 59 90 . . PUNCT ajst-10984 59 91 stability stability NOUN ajst-10984 59 92 and and CCONJ ajst-10984 59 93 sensitivity sensitivity NOUN ajst-10984 59 94 analysis analysis NOUN ajst-10984 59 95 in in ADP ajst-10984 59 96 this this DET ajst-10984 59 97 paper paper NOUN ajst-10984 59 98 , , PUNCT ajst-10984 59 99 the the DET ajst-10984 59 100 method method NOUN ajst-10984 59 101 of of ADP ajst-10984 59 102 data datum NOUN ajst-10984 59 103 fluctuation fluctuation NOUN ajst-10984 59 104 is be AUX ajst-10984 59 105 used use VERB ajst-10984 59 106 for for ADP ajst-10984 59 107 sensitivity sensitivity NOUN ajst-10984 59 108 analysis analysis NOUN ajst-10984 59 109 . . PUNCT ajst-10984 60 1 accord accord NOUN ajst-10984 60 2 - - PUNCT ajst-10984 60 3 ing ing NOUN ajst-10984 60 4 to to ADP ajst-10984 60 5 the the DET ajst-10984 60 6 data datum NOUN ajst-10984 60 7 processed process VERB ajst-10984 60 8 here here ADV ajst-10984 60 9 , , PUNCT ajst-10984 60 10 each each PRON ajst-10984 60 11 of of ADP ajst-10984 60 12 the the DET ajst-10984 60 13 data data NOUN ajst-10984 60 14 fluctuates fluctuate NOUN ajst-10984 60 15 within within ADP ajst-10984 60 16 1 1 NUM ajst-10984 60 17 % % NOUN ajst-10984 60 18 . . PUNCT ajst-10984 61 1 the the DET ajst-10984 61 2 random random ADJ ajst-10984 61 3 number number NOUN ajst-10984 61 4 generated generate VERB ajst-10984 61 5 by by ADP ajst-10984 61 6 matlab matlab PROPN ajst-10984 61 7 is be AUX ajst-10984 61 8 used use VERB ajst-10984 61 9 to to PART ajst-10984 61 10 simulate simulate VERB ajst-10984 61 11 the the DET ajst-10984 61 12 size size NOUN ajst-10984 61 13 of of ADP ajst-10984 61 14 the the DET ajst-10984 61 15 data datum NOUN ajst-10984 61 16 fluctuation fluctuation NOUN ajst-10984 61 17 . . PUNCT ajst-10984 62 1 generate generate VERB ajst-10984 62 2 the the DET ajst-10984 62 3 data datum NOUN ajst-10984 62 4 after after ADP ajst-10984 62 5 fluctuation fluctuation NOUN ajst-10984 62 6 , , PUNCT ajst-10984 62 7 and and CCONJ ajst-10984 62 8 process process VERB ajst-10984 62 9 the the DET ajst-10984 62 10 data datum NOUN ajst-10984 62 11 after after ADP ajst-10984 62 12 fluctuation fluctuation NOUN ajst-10984 62 13 with with ADP ajst-10984 62 14 the the DET ajst-10984 62 15 same same ADJ ajst-10984 62 16 systematic systematic ADJ ajst-10984 62 17 cluster cluster NOUN ajst-10984 62 18 - - PUNCT ajst-10984 62 19 ing ing NOUN ajst-10984 62 20 method method NOUN ajst-10984 62 21 as as ADP ajst-10984 62 22 above above ADV ajst-10984 62 23 to to PART ajst-10984 62 24 obtain obtain VERB ajst-10984 62 25 the the DET ajst-10984 62 26 clustering clustering ADJ ajst-10984 62 27 pedigree pedigree ADJ ajst-10984 62 28 diagram diagram NOUN ajst-10984 62 29 and and CCONJ ajst-10984 62 30 line line NOUN ajst-10984 62 31 chart chart NOUN ajst-10984 62 32 of of ADP ajst-10984 62 33 polymer polymer NOUN ajst-10984 62 34 - - PUNCT ajst-10984 62 35 ization ization NOUN ajst-10984 62 36 coefficient coefficient NOUN ajst-10984 62 37 of of ADP ajst-10984 62 38 high high ADJ ajst-10984 62 39 potassium potassium NOUN ajst-10984 62 40 glass glass NOUN ajst-10984 62 41 , , PUNCT ajst-10984 62 42 as as SCONJ ajst-10984 62 43 shown show VERB ajst-10984 62 44 in in ADP ajst-10984 62 45 figure7 figure7 PROPN ajst-10984 62 46 : : PUNCT ajst-10984 62 47 figure figure NOUN ajst-10984 62 48 7 7 NUM ajst-10984 62 49 . . NOUN ajst-10984 62 50 sensitivity sensitivity NOUN ajst-10984 62 51 analysis analysis NOUN ajst-10984 62 52 comparing compare VERB ajst-10984 62 53 this this DET ajst-10984 62 54 clustering cluster VERB ajst-10984 62 55 pedigree pedigree NOUN ajst-10984 62 56 with with ADP ajst-10984 62 57 the the DET ajst-10984 62 58 real real ADJ ajst-10984 62 59 cluster cluster NOUN ajst-10984 62 60 analysis analysis NOUN ajst-10984 62 61 clustering cluster VERB ajst-10984 62 62 pedigree pedigree NOUN ajst-10984 62 63 , , PUNCT ajst-10984 62 64 it it PRON ajst-10984 62 65 is be AUX ajst-10984 62 66 found find VERB ajst-10984 62 67 that that SCONJ ajst-10984 62 68 there there PRON ajst-10984 62 69 is be VERB ajst-10984 62 70 a a DET ajst-10984 62 71 great great ADJ ajst-10984 62 72 similarity similarity NOUN ajst-10984 62 73 , , PUNCT ajst-10984 62 74 and and CCONJ ajst-10984 62 75 three three NUM ajst-10984 62 76 subcategories subcategorie NOUN ajst-10984 62 77 are be AUX ajst-10984 62 78 also also ADV ajst-10984 62 79 selected select VERB ajst-10984 62 80 according accord VERB ajst-10984 62 81 to to ADP ajst-10984 62 82 the the DET ajst-10984 62 83 line line NOUN ajst-10984 62 84 chart chart NOUN ajst-10984 62 85 graph graph NOUN ajst-10984 62 86 of of ADP ajst-10984 62 87 the the DET ajst-10984 62 88 polymerization polymerization NOUN ajst-10984 62 89 coefficient coefficient NOUN ajst-10984 62 90 . . PUNCT ajst-10984 63 1 comparing compare VERB ajst-10984 63 2 the the DET ajst-10984 63 3 data datum NOUN ajst-10984 63 4 be be NOUN ajst-10984 63 5 - - PUNCT ajst-10984 63 6 fore fore NOUN ajst-10984 63 7 and and CCONJ ajst-10984 63 8 after after ADP ajst-10984 63 9 fluctuations fluctuation NOUN ajst-10984 63 10 , , PUNCT ajst-10984 63 11 it it PRON ajst-10984 63 12 is be AUX ajst-10984 63 13 found find VERB ajst-10984 63 14 that that SCONJ ajst-10984 63 15 the the DET ajst-10984 63 16 members member NOUN ajst-10984 63 17 of of ADP ajst-10984 63 18 each each DET ajst-10984 63 19 subcategory subcategory NOUN ajst-10984 63 20 are be AUX ajst-10984 63 21 the the DET ajst-10984 63 22 same same ADJ ajst-10984 63 23 , , PUNCT ajst-10984 63 24 indicating indicate VERB ajst-10984 63 25 that that SCONJ ajst-10984 63 26 this this DET ajst-10984 63 27 model model NOUN ajst-10984 63 28 has have VERB ajst-10984 63 29 good good ADJ ajst-10984 63 30 stability stability NOUN ajst-10984 63 31 and and CCONJ ajst-10984 63 32 low low ADJ ajst-10984 63 33 sensitivity sensitivity NOUN ajst-10984 63 34 for for ADP ajst-10984 63 35 subcategories subcategorie NOUN ajst-10984 63 36 of of ADP ajst-10984 63 37 high high ADJ ajst-10984 63 38 potassium potassium NOUN ajst-10984 63 39 glass glass NOUN ajst-10984 63 40 . . PUNCT ajst-10984 64 1 similarly similarly ADV ajst-10984 64 2 , , PUNCT ajst-10984 64 3 the the DET ajst-10984 64 4 clustering clustering ADJ ajst-10984 64 5 pedigree pedigree NOUN ajst-10984 64 6 and and CCONJ ajst-10984 64 7 line line NOUN ajst-10984 64 8 chart chart PROPN ajst-10984 64 9 diagram diagram NOUN ajst-10984 64 10 of of ADP ajst-10984 64 11 polymerization polymerization NOUN ajst-10984 64 12 coeffi coeffi NOUN ajst-10984 64 13 - - PUNCT ajst-10984 64 14 cient cient NOUN ajst-10984 64 15 of of ADP ajst-10984 64 16 lead lead ADJ ajst-10984 64 17 barium barium NOUN ajst-10984 64 18 glass glass NOUN ajst-10984 64 19 are be AUX ajst-10984 64 20 obtained obtain VERB ajst-10984 64 21 . . PUNCT ajst-10984 65 1 by by ADP ajst-10984 65 2 comparing compare VERB ajst-10984 65 3 with with ADP ajst-10984 65 4 the the DET ajst-10984 65 5 real real ADJ ajst-10984 65 6 cluster cluster NOUN ajst-10984 65 7 analysis analysis NOUN ajst-10984 65 8 clus clus NOUN ajst-10984 65 9 - - PUNCT ajst-10984 65 10 tering tere VERB ajst-10984 65 11 pedigree pedigree NOUN ajst-10984 65 12 , , PUNCT ajst-10984 65 13 it it PRON ajst-10984 65 14 is be AUX ajst-10984 65 15 found find VERB ajst-10984 65 16 that that SCONJ ajst-10984 65 17 there there PRON ajst-10984 65 18 is be VERB ajst-10984 65 19 also also ADV ajst-10984 65 20 a a DET ajst-10984 65 21 great great ADJ ajst-10984 65 22 similarity similarity NOUN ajst-10984 65 23 , , PUNCT ajst-10984 65 24 which which PRON ajst-10984 65 25 indicates indicate VERB ajst-10984 65 26 that that SCONJ ajst-10984 65 27 this this DET ajst-10984 65 28 model model NOUN ajst-10984 65 29 has have VERB ajst-10984 65 30 good good ADJ ajst-10984 65 31 stability stability NOUN ajst-10984 65 32 for for ADP ajst-10984 65 33 the the DET ajst-10984 65 34 subclassification subclassification NOUN ajst-10984 65 35 of of ADP ajst-10984 65 36 lead lead ADJ ajst-10984 65 37 barium barium NOUN ajst-10984 65 38 glass glass NOUN ajst-10984 65 39 , , PUNCT ajst-10984 65 40 that that ADV ajst-10984 65 41 is is ADV ajst-10984 65 42 , , PUNCT ajst-10984 65 43 it it PRON ajst-10984 65 44 is be AUX ajst-10984 65 45 less less ADV ajst-10984 65 46 sensitive sensitive ADJ ajst-10984 65 47 . . PUNCT ajst-10984 66 1 4 4 X ajst-10984 66 2 . . X ajst-10984 66 3 conclusions conclusion NOUN ajst-10984 66 4 in in ADP ajst-10984 66 5 order order NOUN ajst-10984 66 6 to to PART ajst-10984 66 7 carry carry VERB ajst-10984 66 8 out out ADP ajst-10984 66 9 the the DET ajst-10984 66 10 subclassification subclassification NOUN ajst-10984 66 11 of of ADP ajst-10984 66 12 each each DET ajst-10984 66 13 glass glass NOUN ajst-10984 66 14 category category NOUN ajst-10984 66 15 , , PUNCT ajst-10984 66 16 we we PRON ajst-10984 66 17 selected select VERB ajst-10984 66 18 three three NUM ajst-10984 66 19 indicators indicator NOUN ajst-10984 66 20 for for ADP ajst-10984 66 21 the the DET ajst-10984 66 22 classification classification NOUN ajst-10984 66 23 according accord VERB ajst-10984 66 24 to to ADP ajst-10984 66 25 the the DET ajst-10984 66 26 magnitude magnitude NOUN ajst-10984 66 27 of of ADP ajst-10984 66 28 the the DET ajst-10984 66 29 mean mean ADJ ajst-10984 66 30 values value NOUN ajst-10984 66 31 of of ADP ajst-10984 66 32 each each DET ajst-10984 66 33 chemical chemical NOUN ajst-10984 66 34 composition composition NOUN ajst-10984 66 35 of of ADP ajst-10984 66 36 the the DET ajst-10984 66 37 two two NUM ajst-10984 66 38 major major ADJ ajst-10984 66 39 glass glass NOUN ajst-10984 66 40 categories category NOUN ajst-10984 66 41 : : PUNCT ajst-10984 66 42 silica silica NOUN ajst-10984 66 43 , , PUNCT ajst-10984 66 44 lead lead VERB ajst-10984 66 45 oxide oxide NOUN ajst-10984 66 46 , , PUNCT ajst-10984 66 47 and and CCONJ ajst-10984 66 48 barium barium NOUN ajst-10984 66 49 oxide oxide NOUN ajst-10984 66 50 . . PUNCT ajst-10984 67 1 according accord VERB ajst-10984 67 2 to to ADP ajst-10984 67 3 whether whether SCONJ ajst-10984 67 4 the the DET ajst-10984 67 5 data datum NOUN ajst-10984 67 6 obeyed obey VERB ajst-10984 67 7 normal normal ADJ ajst-10984 67 8 distribution distribution NOUN ajst-10984 67 9 , , PUNCT ajst-10984 67 10 the the DET ajst-10984 67 11 sigma sigma NOUN ajst-10984 67 12 principle principle NOUN ajst-10984 67 13 and and CCONJ ajst-10984 67 14 the the DET ajst-10984 67 15 lower low ADJ ajst-10984 67 16 quartile quartile NOUN ajst-10984 67 17 principle principle NOUN ajst-10984 67 18 were be AUX ajst-10984 67 19 chosen choose VERB ajst-10984 67 20 to to PART ajst-10984 67 21 determine determine VERB ajst-10984 67 22 the the DET ajst-10984 67 23 critical critical ADJ ajst-10984 67 24 values value NOUN ajst-10984 67 25 , , PUNCT ajst-10984 67 26 and and CCONJ ajst-10984 67 27 the the DET ajst-10984 67 28 critical critical ADJ ajst-10984 67 29 values value NOUN ajst-10984 67 30 of of ADP ajst-10984 67 31 59.24 59.24 NUM ajst-10984 67 32 for for ADP ajst-10984 67 33 silica silica NOUN ajst-10984 67 34 , , PUNCT ajst-10984 67 35 16.26 16.26 NUM ajst-10984 67 36 for for ADP ajst-10984 67 37 lead lead ADJ ajst-10984 67 38 oxide oxide NOUN ajst-10984 67 39 , , PUNCT ajst-10984 67 40 and and CCONJ ajst-10984 67 41 3.02 3.02 NUM ajst-10984 67 42 for for ADP ajst-10984 67 43 barium barium NOUN ajst-10984 67 44 oxide oxide NOUN ajst-10984 67 45 were be AUX ajst-10984 67 46 obtained obtain VERB ajst-10984 67 47 to to PART ajst-10984 67 48 judge judge VERB ajst-10984 67 49 the the DET ajst-10984 67 50 categories category NOUN ajst-10984 67 51 , , PUNCT ajst-10984 67 52 and and CCONJ ajst-10984 67 53 the the DET ajst-10984 67 54 final final ADJ ajst-10984 67 55 classification classification NOUN ajst-10984 67 56 results result NOUN ajst-10984 67 57 were be AUX ajst-10984 67 58 obtained obtain VERB ajst-10984 67 59 by by ADP ajst-10984 67 60 hard hard ADJ ajst-10984 67 61 voting voting NOUN ajst-10984 67 62 , , PUNCT ajst-10984 67 63 and and CCONJ ajst-10984 67 64 the the DET ajst-10984 67 65 hard hard ADJ ajst-10984 67 66 voting voting NOUN ajst-10984 67 67 model model NOUN ajst-10984 67 68 was be AUX ajst-10984 67 69 trained train VERB ajst-10984 67 70 with with ADP ajst-10984 67 71 an an DET ajst-10984 67 72 accuracy accuracy NOUN ajst-10984 67 73 of of ADP ajst-10984 67 74 97 97 NUM ajst-10984 67 75 % % NOUN ajst-10984 67 76 . . PUNCT ajst-10984 68 1 then then ADV ajst-10984 68 2 , , PUNCT ajst-10984 68 3 the the DET ajst-10984 68 4 two two NUM ajst-10984 68 5 major major ADJ ajst-10984 68 6 glass glass NOUN ajst-10984 68 7 categories category NOUN ajst-10984 68 8 were be AUX ajst-10984 68 9 subclassified subclassifie VERB ajst-10984 68 10 according accord VERB ajst-10984 68 11 to to ADP ajst-10984 68 12 the the DET ajst-10984 68 13 systematic systematic ADJ ajst-10984 68 14 class class NOUN ajst-10984 68 15 clustering clustering NOUN ajst-10984 68 16 , , PUNCT ajst-10984 68 17 and and CCONJ ajst-10984 68 18 the the DET ajst-10984 68 19 clustering clustering NOUN ajst-10984 68 20 was be AUX ajst-10984 68 21 performed perform VERB ajst-10984 68 22 again again ADV ajst-10984 68 23 under under ADP ajst-10984 68 24 the the DET ajst-10984 68 25 same same ADJ ajst-10984 68 26 conditions condition NOUN ajst-10984 68 27 by by ADP ajst-10984 68 28 making make VERB ajst-10984 68 29 the the DET ajst-10984 68 30 real real ADJ ajst-10984 68 31 data datum NOUN ajst-10984 68 32 fluctuate fluctuate NOUN ajst-10984 68 33 within within ADP ajst-10984 68 34 1 1 NUM ajst-10984 68 35 % % NOUN ajst-10984 68 36 , , PUNCT ajst-10984 68 37 and and CCONJ ajst-10984 68 38 it it PRON ajst-10984 68 39 was be AUX ajst-10984 68 40 found find VERB ajst-10984 68 41 that that SCONJ ajst-10984 68 42 the the DET ajst-10984 68 43 clustering clustering NOUN ajst-10984 68 44 results result NOUN ajst-10984 68 45 were be AUX ajst-10984 68 46 the the DET ajst-10984 68 47 same same ADJ ajst-10984 68 48 as as ADP ajst-10984 68 49 those those PRON ajst-10984 68 50 of of ADP ajst-10984 68 51 the the DET ajst-10984 68 52 stable stable ADJ ajst-10984 68 53 data datum NOUN ajst-10984 68 54 , , PUNCT ajst-10984 68 55 indicating indicate VERB ajst-10984 68 56 that that SCONJ ajst-10984 68 57 the the DET ajst-10984 68 58 systematic systematic ADJ ajst-10984 68 59 class class NOUN ajst-10984 68 60 clustering clustering NOUN ajst-10984 68 61 model model NOUN ajst-10984 68 62 has have VERB ajst-10984 68 63 good good ADJ ajst-10984 68 64 stability stability NOUN ajst-10984 68 65 for for ADP ajst-10984 68 66 the the DET ajst-10984 68 67 subclassification subclassification NOUN ajst-10984 68 68 of of ADP ajst-10984 68 69 each each DET ajst-10984 68 70 glass glass NOUN ajst-10984 68 71 category category NOUN ajst-10984 68 72 . . PUNCT ajst-10984 69 1 references reference NOUN ajst-10984 69 2 [ [ X ajst-10984 69 3 1 1 X ajst-10984 69 4 ] ] X ajst-10984 69 5 ahmad ahmad PROPN ajst-10984 69 6 zahoor zahoor PROPN ajst-10984 69 7 , , PUNCT ajst-10984 69 8 nguyen nguyen PROPN ajst-10984 69 9 tuan tuan PROPN ajst-10984 69 10 - - PUNCT ajst-10984 69 11 khai khai PROPN ajst-10984 69 12 , , PUNCT ajst-10984 69 13 rai rai PROPN ajst-10984 69 14 akhand akhand PROPN ajst-10984 69 15 , , PUNCT ajst-10984 69 16 kim kim PROPN ajst-10984 69 17 jongmyon jongmyon PROPN ajst-10984 69 18 . . PUNCT ajst-10984 70 1 industrial industrial ADJ ajst-10984 70 2 fluid fluid ADJ ajst-10984 70 3 pipeline pipeline NOUN ajst-10984 70 4 leak leak NOUN ajst-10984 70 5 detection detection NOUN ajst-10984 70 6 and and CCONJ ajst-10984 70 7 localization localization NOUN ajst-10984 70 8 based base VERB ajst-10984 70 9 on on ADP ajst-10984 70 10 a a DET ajst-10984 70 11 multiscale multiscale ADJ ajst-10984 70 12 mann mann PROPN ajst-10984 70 13 - - PUNCT ajst-10984 70 14 whitney whitney PROPN ajst-10984 70 15 test test NOUN ajst-10984 70 16 and and CCONJ ajst-10984 70 17 acoustic acoustic ADJ ajst-10984 70 18 emission emission NOUN ajst-10984 70 19 event event NOUN ajst-10984 70 20 tracking[j tracking[j NOUN ajst-10984 70 21 ] ] PUNCT ajst-10984 70 22 . . PUNCT ajst-10984 71 1 mechanical mechanical ADJ ajst-10984 71 2 systems system NOUN ajst-10984 71 3 and and CCONJ ajst-10984 71 4 signal signal ADJ ajst-10984 71 5 processing,2023,189 processing,2023,189 NOUN ajst-10984 71 6 . . PUNCT ajst-10984 72 1 [ [ X ajst-10984 72 2 2 2 NUM ajst-10984 72 3 ] ] X ajst-10984 72 4 wall wall PROPN ajst-10984 72 5 emerson emerson PROPN ajst-10984 72 6 robert robert PROPN ajst-10984 72 7 . . PROPN ajst-10984 72 8 mann mann PROPN ajst-10984 72 9 - - PUNCT ajst-10984 72 10 whitney whitney PROPN ajst-10984 72 11 u u PROPN ajst-10984 72 12 test test NOUN ajst-10984 72 13 and and CCONJ ajst-10984 72 14 t t PROPN ajst-10984 72 15 - - PUNCT ajst-10984 72 16 test[j test[j NOUN ajst-10984 72 17 ] ] PUNCT ajst-10984 72 18 . . PUNCT ajst-10984 73 1 journal journal PROPN ajst-10984 73 2 of of ADP ajst-10984 73 3 visual visual ADJ ajst-10984 73 4 impairment impairment NOUN ajst-10984 73 5 & & CCONJ ajst-10984 73 6 blindness,2023,117(1 blindness,2023,117(1 PROPN ajst-10984 73 7 ) ) PUNCT ajst-10984 73 8 . . PUNCT ajst-10984 74 1 [ [ X ajst-10984 74 2 3 3 X ajst-10984 74 3 ] ] X ajst-10984 74 4 yang yang PROPN ajst-10984 74 5 j j PROPN ajst-10984 74 6 , , PUNCT ajst-10984 74 7 wang wang PROPN ajst-10984 74 8 z z PROPN ajst-10984 74 9 , , PUNCT ajst-10984 74 10 gao gao PROPN ajst-10984 74 11 s. s. PROPN ajst-10984 74 12 component component NOUN ajst-10984 74 13 analysis analysis NOUN ajst-10984 74 14 and and CCONJ ajst-10984 74 15 classification classification NOUN ajst-10984 74 16 model model NOUN ajst-10984 74 17 of of ADP ajst-10984 74 18 ancient ancient ADJ ajst-10984 74 19 glassware glassware NOUN ajst-10984 74 20 based base VERB ajst-10984 74 21 on on ADP ajst-10984 74 22 k k PROPN ajst-10984 74 23 - - PUNCT ajst-10984 74 24 means mean VERB ajst-10984 74 25 clustering clustering NOUN ajst-10984 74 26 and and CCONJ ajst-10984 74 27 random random ADJ ajst-10984 74 28 forest[c]//wuhan forest[c]//wuhan PROPN ajst-10984 74 29 zhicheng zhicheng PROPN ajst-10984 74 30 times times PROPN ajst-10984 74 31 cultural cultural PROPN ajst-10984 74 32 development development PROPN ajst-10984 74 33 co. co. PROPN ajst-10984 74 34 , , PUNCT ajst-10984 74 35 ltd ltd PROPN ajst-10984 74 36 .. .. PROPN ajst-10984 74 37 proceedings proceeding NOUN ajst-10984 74 38 of of ADP ajst-10984 74 39 2023 2023 NUM ajst-10984 74 40 international international ADJ ajst-10984 74 41 37 37 NUM ajst-10984 74 42 conference conference NOUN ajst-10984 74 43 on on ADP ajst-10984 74 44 mathematical mathematical ADJ ajst-10984 74 45 modeling modeling NOUN ajst-10984 74 46 , , PUNCT ajst-10984 74 47 algorithm algorithm NOUN ajst-10984 74 48 and and CCONJ ajst-10984 74 49 computer computer NOUN ajst-10984 74 50 simulation simulation NOUN ajst-10984 74 51 ( ( PUNCT ajst-10984 74 52 mmacs mmacs PROPN ajst-10984 74 53 2023).2023:398 2023).2023:398 NUM ajst-10984 74 54 - - SYM ajst-10984 74 55 406 406 NUM ajst-10984 74 56 . . PUNCT ajst-10984 75 1 [ [ X ajst-10984 75 2 4 4 NUM ajst-10984 75 3 ] ] X ajst-10984 75 4 zhilin zhilin PROPN ajst-10984 75 5 huang huang PROPN ajst-10984 75 6 , , PUNCT ajst-10984 75 7 yali yali PROPN ajst-10984 75 8 xiong xiong PROPN ajst-10984 75 9 , , PUNCT ajst-10984 75 10 yifeng yifeng PROPN ajst-10984 75 11 fu fu PROPN ajst-10984 75 12 , , PUNCT ajst-10984 75 13 feng feng PROPN ajst-10984 75 14 li li PROPN ajst-10984 75 15 . . PUNCT ajst-10984 76 1 a a DET ajst-10984 76 2 study study NOUN ajst-10984 76 3 of of ADP ajst-10984 76 4 the the DET ajst-10984 76 5 problem problem NOUN ajst-10984 76 6 of of ADP ajst-10984 76 7 compositional compositional ADJ ajst-10984 76 8 analysis analysis NOUN ajst-10984 76 9 of of ADP ajst-10984 76 10 ancient ancient ADJ ajst-10984 76 11 glassware glassware NOUN ajst-10984 76 12 based base VERB ajst-10984 76 13 on on ADP ajst-10984 76 14 grey grey PROPN ajst-10984 76 15 models[j models[j PROPN ajst-10984 76 16 ] ] PUNCT ajst-10984 76 17 . . PUNCT ajst-10984 77 1 academic academic ADJ ajst-10984 77 2 journal journal NOUN ajst-10984 77 3 of of ADP ajst-10984 77 4 materials material NOUN ajst-10984 77 5 & & CCONJ ajst-10984 77 6 chemistry chemistry NOUN ajst-10984 77 7 , , PUNCT ajst-10984 77 8 2023 2023 NUM ajst-10984 77 9 , , PUNCT ajst-10984 77 10 4(2 4(2 NUM ajst-10984 77 11 ) ) PUNCT ajst-10984 77 12 . . PUNCT ajst-10984 78 1 [ [ X ajst-10984 78 2 5 5 NUM ajst-10984 78 3 ] ] PUNCT ajst-10984 78 4 xu xu PROPN ajst-10984 79 1 k k PROPN ajst-10984 79 2 , , PUNCT ajst-10984 79 3 chen chen PROPN ajst-10984 79 4 y y PROPN ajst-10984 79 5 , , PUNCT ajst-10984 79 6 nie nie PROPN ajst-10984 79 7 j. j. PROPN ajst-10984 79 8 subclass subclass PROPN ajst-10984 79 9 classification classification NOUN ajst-10984 79 10 of of ADP ajst-10984 79 11 ancient ancient ADJ ajst-10984 79 12 glassware glassware NOUN ajst-10984 79 13 based base VERB ajst-10984 79 14 on on ADP ajst-10984 79 15 k k NOUN ajst-10984 79 16 - - PUNCT ajst-10984 79 17 means mean NOUN ajst-10984 79 18 and and CCONJ ajst-10984 79 19 gmm[c]//wuhan gmm[c]//wuhan PROPN ajst-10984 79 20 zhicheng zhicheng PROPN ajst-10984 79 21 times times PROPN ajst-10984 79 22 cultural cultural PROPN ajst-10984 79 23 development development PROPN ajst-10984 79 24 co. co. PROPN ajst-10984 79 25 , , PUNCT ajst-10984 79 26 ltd ltd PROPN ajst-10984 79 27 .. .. PROPN ajst-10984 79 28 proceedings proceeding NOUN ajst-10984 79 29 of of ADP ajst-10984 79 30 2023 2023 NUM ajst-10984 79 31 international international ADJ ajst-10984 79 32 conference conference NOUN ajst-10984 79 33 on on ADP ajst-10984 79 34 mathematical mathematical ADJ ajst-10984 79 35 modeling modeling NOUN ajst-10984 79 36 , , PUNCT ajst-10984 79 37 algorithm algorithm NOUN ajst-10984 79 38 and and CCONJ ajst-10984 79 39 computer computer NOUN ajst-10984 79 40 simulation simulation NOUN ajst-10984 79 41 ( ( PUNCT ajst-10984 79 42 mmacs mmacs PROPN ajst-10984 79 43 2023 2023 NUM ajst-10984 79 44 ) ) PUNCT ajst-10984 79 45 . . PUNCT ajst-10984 80 1 2023:278 2023:278 NUM ajst-10984 80 2 - - PUNCT ajst-10984 80 3 285 285 NUM ajst-10984 80 4 . . PUNCT ajst-10984 81 1 [ [ X ajst-10984 81 2 6 6 NUM ajst-10984 81 3 ] ] PUNCT ajst-10984 81 4 dong dong PROPN ajst-10984 81 5 k. k. PROPN ajst-10984 81 6 composition composition NOUN ajst-10984 81 7 analysis analysis NOUN ajst-10984 81 8 and and CCONJ ajst-10984 81 9 identification identification NOUN ajst-10984 81 10 of of ADP ajst-10984 81 11 ancient ancient ADJ ajst-10984 81 12 glass glass NOUN ajst-10984 81 13 based base VERB ajst-10984 81 14 on on ADP ajst-10984 81 15 k k NOUN ajst-10984 81 16 - - PUNCT ajst-10984 81 17 means mean VERB ajst-10984 81 18 clustering[c]//wuhan clustering[c]//wuhan PROPN ajst-10984 81 19 zhicheng zhicheng PROPN ajst-10984 81 20 times times PROPN ajst-10984 81 21 cultural cultural PROPN ajst-10984 81 22 development development PROPN ajst-10984 81 23 co. co. PROPN ajst-10984 81 24 , , PUNCT ajst-10984 81 25 ltd ltd PROPN ajst-10984 81 26 .. .. PROPN ajst-10984 81 27 proceedings proceeding NOUN ajst-10984 81 28 of of ADP ajst-10984 81 29 2023 2023 NUM ajst-10984 81 30 international international ADJ ajst-10984 81 31 conference conference NOUN ajst-10984 81 32 on on ADP ajst-10984 81 33 mathematical mathematical ADJ ajst-10984 81 34 modeling modeling NOUN ajst-10984 81 35 , , PUNCT ajst-10984 81 36 algorithm algorithm NOUN ajst-10984 81 37 and and CCONJ ajst-10984 81 38 computer computer NOUN ajst-10984 81 39 simulation simulation NOUN ajst-10984 81 40 ( ( PUNCT ajst-10984 81 41 mmacs mmacs PROPN ajst-10984 81 42 2023 2023 NUM ajst-10984 81 43 ) ) PUNCT ajst-10984 81 44 . . PUNCT ajst-10984 82 1 2023 2023 NUM ajst-10984 82 2 : : PUNCT ajst-10984 82 3 347 347 NUM ajst-10984 82 4 - - SYM ajst-10984 82 5 356 356 NUM ajst-10984 82 6 . . PUNCT ajst-10984 83 1 [ [ X ajst-10984 83 2 7 7 X ajst-10984 83 3 ] ] X ajst-10984 83 4 du du PROPN ajst-10984 83 5 y y PROPN ajst-10984 83 6 , , PUNCT ajst-10984 83 7 zhou zhou PROPN ajst-10984 83 8 j j PROPN ajst-10984 83 9 , , PUNCT ajst-10984 83 10 li li PROPN ajst-10984 83 11 j. j. PROPN ajst-10984 83 12 classification classification PROPN ajst-10984 83 13 and and CCONJ ajst-10984 83 14 identification identification NOUN ajst-10984 83 15 of of ADP ajst-10984 83 16 ancient ancient ADJ ajst-10984 83 17 glass glass NOUN ajst-10984 83 18 objects object NOUN ajst-10984 83 19 based base VERB ajst-10984 83 20 on on ADP ajst-10984 83 21 k k PROPN ajst-10984 83 22 - - ADJ ajst-10984 83 23 means++ means++ ADJ ajst-10984 83 24 and and CCONJ ajst-10984 83 25 fisher fisher PROPN ajst-10984 83 26 discriminant discriminant NOUN ajst-10984 83 27 [ [ X ajst-10984 83 28 c]//wuhan c]//wuhan PROPN ajst-10984 83 29 zhicheng zhicheng PROPN ajst-10984 83 30 times times PROPN ajst-10984 83 31 cultural cultural PROPN ajst-10984 83 32 development development PROPN ajst-10984 83 33 co. co. PROPN ajst-10984 83 34 , , PUNCT ajst-10984 83 35 ltd ltd PROPN ajst-10984 83 36 .. .. PROPN ajst-10984 83 37 proceedings proceeding NOUN ajst-10984 83 38 of of ADP ajst-10984 83 39 2023 2023 NUM ajst-10984 83 40 international international ADJ ajst-10984 83 41 conference conference NOUN ajst-10984 83 42 on on ADP ajst-10984 83 43 mathematical mathematical ADJ ajst-10984 83 44 modeling modeling NOUN ajst-10984 83 45 , , PUNCT ajst-10984 83 46 algorithm algorithm NOUN ajst-10984 83 47 and and CCONJ ajst-10984 83 48 computer computer NOUN ajst-10984 83 49 simulation simulation NOUN ajst-10984 83 50 ( ( PUNCT ajst-10984 83 51 mmacs mmacs PROPN ajst-10984 83 52 2023).2023:357 2023).2023:357 NUM ajst-10984 83 53 - - SYM ajst-10984 83 54 365 365 NUM ajst-10984 83 55 . . PUNCT ajst-10984 84 1 [ [ X ajst-10984 84 2 8 8 NUM ajst-10984 84 3 ] ] X ajst-10984 84 4 lu lu PROPN ajst-10984 84 5 jiajia jiajia PROPN ajst-10984 84 6 . . PUNCT ajst-10984 85 1 ancient ancient ADJ ajst-10984 85 2 glass glass NOUN ajst-10984 85 3 classification classification NOUN ajst-10984 85 4 model model NOUN ajst-10984 85 5 based base VERB ajst-10984 85 6 on on ADP ajst-10984 85 7 integrated integrate VERB ajst-10984 85 8 feature feature NOUN ajst-10984 85 9 selection selection NOUN ajst-10984 85 10 and and CCONJ ajst-10984 85 11 random random ADJ ajst-10984 85 12 forest[j forest[j NOUN ajst-10984 85 13 ] ] PUNCT ajst-10984 85 14 . . PUNCT ajst-10984 86 1 journal journal PROPN ajst-10984 86 2 of of ADP ajst-10984 86 3 silicates silicate NOUN ajst-10984 86 4 , , PUNCT ajst-10984 86 5 2023,51(04):1060 2023,51(04):1060 NOUN ajst-10984 86 6 - - SYM ajst-10984 86 7 1065 1065 NUM ajst-10984 86 8 . . PUNCT ajst-10984 87 1 [ [ X ajst-10984 87 2 9 9 NUM ajst-10984 87 3 ] ] X ajst-10984 87 4 mcintyre mcintyre PROPN ajst-10984 87 5 amanda amanda PROPN ajst-10984 87 6 , , PUNCT ajst-10984 87 7 saikaley saikaley PROPN ajst-10984 87 8 marcus marcus PROPN ajst-10984 87 9 , , PUNCT ajst-10984 87 10 janzen janzen PROPN ajst-10984 87 11 shannon shannon PROPN ajst-10984 87 12 , , PUNCT ajst-10984 87 13 blackport blackport NOUN ajst-10984 87 14 daymon daymon PROPN ajst-10984 87 15 , , PUNCT ajst-10984 87 16 singh singh PROPN ajst-10984 87 17 jaswinder jaswinder PROPN ajst-10984 87 18 , , PUNCT ajst-10984 87 19 baker baker PROPN ajst-10984 87 20 carmen carmen PROPN ajst-10984 87 21 , , PUNCT ajst-10984 87 22 miller miller PROPN ajst-10984 87 23 tom tom PROPN ajst-10984 87 24 , , PUNCT ajst-10984 87 25 teasell teasell PROPN ajst-10984 87 26 robert robert PROPN ajst-10984 87 27 . . PROPN ajst-10984 88 1 a a DET ajst-10984 88 2 random random ADJ ajst-10984 88 3 forest forest NOUN ajst-10984 88 4 classification classification NOUN ajst-10984 88 5 model model NOUN ajst-10984 88 6 for for ADP ajst-10984 88 7 spasticity spasticity NOUN ajst-10984 88 8 after after ADP ajst-10984 88 9 stroke[j stroke[j NOUN ajst-10984 88 10 ] ] PUNCT ajst-10984 88 11 . . PUNCT ajst-10984 89 1 archives archive NOUN ajst-10984 89 2 of of ADP ajst-10984 89 3 physical physical ADJ ajst-10984 89 4 medicine medicine NOUN ajst-10984 89 5 and and CCONJ ajst-10984 89 6 rehabilitation,2022,103(12 rehabilitation,2022,103(12 NOUN ajst-10984 89 7 ) ) PUNCT ajst-10984 89 8 . . PUNCT ajst-10984 90 1 [ [ X ajst-10984 90 2 10 10 NUM ajst-10984 90 3 ] ] X ajst-10984 90 4 chΓ‘vezdurΓ‘n chΓ‘vezdurΓ‘n NOUN ajst-10984 90 5 Γ‘lvaro Γ‘lvaro PROPN ajst-10984 90 6 agustΓ­n agustΓ­n PROPN ajst-10984 90 7 , , PUNCT ajst-10984 90 8 olveravargas olveravargas PROPN ajst-10984 90 9 miguel miguel PROPN ajst-10984 90 10 , , PUNCT ajst-10984 90 11 figueroa figueroa PROPN ajst-10984 90 12 rangel rangel PROPN ajst-10984 90 13 blanca blanca PROPN ajst-10984 90 14 , , PUNCT ajst-10984 90 15 garcΓ­a garcΓ­a PROPN ajst-10984 90 16 mariano mariano PROPN ajst-10984 90 17 , , PUNCT ajst-10984 90 18 aguado aguado PROPN ajst-10984 90 19 inmaculada inmaculada NOUN ajst-10984 90 20 , , PUNCT ajst-10984 90 21 ruizcorral ruizcorral PROPN ajst-10984 90 22 josΓ© josΓ© PROPN ajst-10984 90 23 ariel ariel PROPN ajst-10984 90 24 . . PUNCT ajst-10984 91 1 mapping map VERB ajst-10984 91 2 homogeneous homogeneous ADJ ajst-10984 91 3 response response NOUN ajst-10984 91 4 areas area NOUN ajst-10984 91 5 for for ADP ajst-10984 91 6 forest forest NOUN ajst-10984 91 7 fuel fuel NOUN ajst-10984 91 8 management management NOUN ajst-10984 91 9 using use VERB ajst-10984 91 10 geospatial geospatial ADJ ajst-10984 91 11 data datum NOUN ajst-10984 91 12 , , PUNCT ajst-10984 91 13 kmeans kmean NOUN ajst-10984 91 14 , , PUNCT ajst-10984 91 15 and and CCONJ ajst-10984 91 16 random random ADJ ajst-10984 91 17 forest forest NOUN ajst-10984 91 18 classification[j classification[j NOUN ajst-10984 91 19 ] ] PUNCT ajst-10984 91 20 . . PUNCT ajst-10984 92 1 forests forest NOUN ajst-10984 92 2 , , PUNCT ajst-10984 92 3 2022 2022 NUM ajst-10984 92 4 , , PUNCT ajst-10984 92 5 13(12 13(12 NUM ajst-10984 92 6 ) ) PUNCT ajst-10984 92 7 . . PUNCT