Mitra, S. ; Banka, H. ; Pedrycz, W. (2006) Rough–Fuzzy Collaborative Clustering IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 36 (4). pp. 795-805. ISSN 1083-4419
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Official URL: https://doi.org/10.1109/TSMCB.2005.863371
Related URL: http://dx.doi.org/10.1109/TSMCB.2005.863371
Abstract
In this study, we introduce a novel clustering architecture, in which several subsets of patterns can be processed together with an objective of finding a common structure. The structure revealed at the global level is determined by exchanging prototypes of the subsets of data and by moving prototypes of the corresponding clusters toward each other. Thereby, the required communication links are established at the level of cluster prototypes and partition matrices, without hampering the security concerns. A detailed clustering algorithm is developed by integrating the advantages of both fuzzy sets and rough sets, and a measure of quantitative analysis of the experimental results is provided for synthetic and real-world data.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| Keywords: | Collaboration; Rough sets; Clustering algorithms; Prototypes; Partitioning algorithms; Fuzzy sets; Data security; Uncertainty; Algorithm design and analysis; Gravity. |
| ID Code: | 140123 |
| Deposited On: | 06 Sep 2025 06:12 |
| Last Modified: | 06 Sep 2025 06:12 |
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