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Rough support vector clustering
DOI:10.1016/j.patcog.2004.12.016.png)
Abstract
En 中文
In this paper a novel kernel-based soft clustering method is proposed. This method incorporates rough set theoretic flavour in support vector clustering paradigm to achieve soft clustering. Empirical studies show that this method can find soft clusters having arbitrary shapes. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Keywords:
rough sets
soft clustering
kernel function
support vectors
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1.3W
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4.5W
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