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A methodology of fuzzy clustering with partial supervision

Viattchenin D. A.

Systems Science

2007

Vol. 33, no 4

61-71

This paper describes a technique of fuzzy clustering with partial supervision. Pedrycz's algorithm of fuzzy clustering and a fuzzy clustering method based on the concept of allotment among fuzzy clusters form the basis of the technique. Basic ideas of both methods are considered and a methodology of fuzzy clustering with partial supervision is proposed in the paper. The application of the methodology is illustrated on the example of Anderson's Iris data. Preliminary conclusions are formulated.