| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10361328 | Pattern Recognition | 2005 | 5 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
S. Asharaf, S.K. Shevade, M. Narasimha Murty,