1. Logic-oriented fuzzy clustering
- Author
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Pedrycz, Witold and Vukovich, George
- Subjects
- *
CLUSTER theory (Nuclear physics) , *NUCLEAR structure - Abstract
The paper is concerned with a logic-based expansion of the standard FCM clustering. The proposed algorithm captures the logic fabric of the structure in a dataset by describing it in the form of a union of the clusters (that is fuzzy relations) determined by the clustering algorithm. In contrast to the standard FCM, the elements (clusters) are combined together as a union of such fuzzy relations
— clusters and this form of combination arises as a constraint in the clustering method. In this sense, the introduced clustering environment gives rise to the clustering that is regarded as a logic-driven data decomposition. A detailed algorithm is presented along with some illustrative examples. [Copyright &y& Elsevier]- Published
- 2002
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