A New Validity Measure for Heuristic Possibilistic Clustering
نویسندگان
چکیده
A heuristic approach to possibilistic clustering is the effective tool for the data analysis. The approach is based on the concept of allotment among fuzzy clusters. To establish the number of clusters in a data set, a validity measure is proposed in this paper. An illustrative example of application of the proposed validity measure to the Anderson’s Iris data is given. A comparison of the validity measure with some well-known cluster validity indices for objective function-based fuzzy clustering algorithms is given. Preliminary conclusions are formulated.
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