| Author: | Krishnapuram, Raghu; Joshi, Anupam; Nasraoui, Olfa; Liyu Yi |
| Advisor: | Advisor |
| Date: | 2001
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| Publisher: | |
| Citation: | Fuzzy Syst
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| Series/Report no.: |
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| Item Type: | Article
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| Keywords: | algorithms-fuzzy c-medoids; robust fuzzy c-medoids; relational fuzzy c-means |
| Abstract: | This paper presents new algorithms-fuzzy c-medoids (FCMdd) and robust fuzzy c-medoids (RFCMdd)-for fuzzy clustering of relational data. The objective functions are based on selecting c representative objects (medoids) from the data set in such a way that the total fuzzy dissimilarity within each cluster is minimized. A comparison of FCMdd with the well-known relational fuzzy c-means algorithm (RFCM) shows that FCMdd is more efficient. We present several applications of these algorithms to Web mining, including Web document clustering, snippet clustering, and Web access log analysis |
