Pal, S. K. ; Pramanik, P. K. (1986) Fuzzy measures in determining seed points in clustering Pattern Recognition Letters, 4 (3). pp. 159-164. ISSN 0167-8655
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...
Related URL: http://dx.doi.org/10.1016/0167-8655(86)90014-0
Abstract
Algorithms for automatic selection of seed points for clustering are described using the terms 'index of fuzziness', 'entropy', and 'π-ness' of a fuzy set. Two membership functions R in have been defined such that the fuzzy measures posses maximum values when the crossover points/central points of the membership functions correspond to the points around which the data has a tendency to cluster. The effectiveness of the algorithm is demonstrated on a set of speech data.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to International Association for Pattern Recognition. |
| Keywords: | Clustering; Fuzzy Measures |
| ID Code: | 26100 |
| Deposited On: | 06 Dec 2010 13:06 |
| Last Modified: | 13 Jun 2011 06:12 |
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