A Rough-Fuzzy approach for Support Vector Clustering
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- 作者：Ramiro Saltos ; ramiro.saltos@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; rjsaltos1989@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Richard Weber rweber@dii.uchile.cl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Fuzzy sets ; Rough sets ; Support Vector Clustering ; Data mining
- 刊名：Information Sciences
- 出版年：2016
- 出版时间：20 April 2016
- 年：2016
- 卷：339
- 期：Complete
- 页码：353-368
- 全文大小：1271 K
文摘
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We present a novel soft clustering approach based on Support Vector Clustering.
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Data points outside the clusters found form a fuzzy boundary region.
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Clusters with any shape as well as outliers can be identified.
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Membership degrees were calculated in a natural way.