Testing the performance of some nonparametric pattern recognition algorithms in realistic cases

The success obtained by Statistical Pattern Recognition in many disciplines is certainly related to the quality and availability of many data, normally distributed. However, in other disciplines, the data sets consist of few measurements, often binned, correlated, and not normally distributed. Usual...

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Bibliographic Details

Published in:	Pattern recognition Vol. 37; no. 3; pp. 447 - 461
Main Authors:	Sandri, Laura, Marzocchi, Warner
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2004
Subjects:	Nonparametric Pattern Recognition Optimal subset of features Synthetic data Volcanological data Nonparametric Pattern Recognition Optimal subset of features Volcanological data Synthetic data
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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