Rough support vector clustering

被引：35

作者：

Asharaf, S ^{[1
]}

Shevade, SK ^{[1
]}

Murty, MN ^{[1
]}

机构：

[1] Indian Inst Sci, Bangalore 560012, Karnataka, India

来源：

PATTERN RECOGNITION | 2005年 / 38卷 / 10期

关键词：

rough sets; soft clustering; kernel function; support vectors;

D O I：

10.1016/j.patcog.2004.12.016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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. (c) 2005 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1779 / 1783

页数：5

共 5 条

[1] Support vector clustering [J].