A differential evolution algorithm based automatic determination of optimal number of clusters validated by fuzzy intercluster hostility index

Automatic data clustering through determination of optimal number of clusters from the data content, is a challenging proposition. Lack of knowledge regarding the underlying data distribution poses constraints in proper determination of the inherent number of clusters.

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