Interpretability-based validity methods for clustering results evaluation

Abstract

Validation and interpretation are the two last steps of a clustering process. Generally these steps are processed separately since the existing validity measures are not intended to express the interpretability or the non interpretability of clusters. We propose in this paper to merge the validation and interpretation steps by using a new supervised measure… (More)
DOI: 10.1007/s10844-011-0185-0

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