id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
esrj-21212	Orozco, Mauricio; García, Marcelo E.; P.W. Duin, Robert; G. Castellanos, César	DISSIMILARITY-BASED CLASSIFICATION OF SEISMIC SIGNALS AT NEVADO DEL RUIZ VOLCANO	2006	10	.pdf	application/pdf	2965	159	42	Linear and Quadratic normal density based classifiers Previous studies (Pękalska et al, 2001; Pękalska and Duin, 2002; Paclík and Duin, 2003) have shown that Bayesian (normal density-based) classifiers, particularly the linear (LDC) and quadratic (QDC) normal based classifiers, perform well in dissimilarity spaces. Dissimilarity representations were constructed by calculating pairwise Euclidean distances and a non-Euclidean measure on the normalized spectra, which is based on the difference in area between spectral curves.	cache/esrj-21212.pdf	txt/esrj-21212.txt