Journal
PATTERN RECOGNITION
Volume 39, Issue 8, Pages 1481-1491Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2006.02.002
Keywords
cluster algorithms; rough k-means; soft computing; data analysis; forest data; bioinformatics data
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Lingras et at. proposed a rough cluster algorithm and successfully applied it to web mining. In this paper we analyze their algorithm with respect to its objective function, numerical stability, the stability of the clusters and others. Based on this analysis a refined rough cluster algorithm is presented. The refined algorithm is applied to synthetic, forest and microarray gene expression data. (c) 2006 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
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