Rough support vector clustering
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摘要
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.
论文关键词：Rough sets,Soft clustering,Kernel function,Support vectors
论文评审过程：Received 27 December 2004, Accepted 30 December 2004, Available online 13 June 2005.
论文官网地址：https://doi.org/10.1016/j.patcog.2004.12.016
