An algorithm to cluster data for efficient classification of support vector machines

Support vector machines (SVM) are widely applied to various classification problems. However, most SVM need lengthy computation time when faced with a large and complicated dataset. This research develops a clustering algorithm for efficient learning. The method mainly categorizes data into clusters...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 34; no. 3; pp. 2013 - 2018
Main Authors:	Li, Der-Chiang, Fang, Yao-Hwei
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.04.2008
Subjects:	Computational complexity Density-based clustering algorithm Machine learning Support vector machines Support vector machines Density-based clustering algorithm Computational complexity Machine learning
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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