Center-Wise intra-inter silhouettes

Authors:
Mohammad Rawashdeh;Anca Ralescu
Affiliations:
Machine Learning and Computational Intelligence Laboratory, School of Computing Sciences and Informatics, University of Cincinnati, Cincinnati, OH;Machine Learning and Computational Intelligence Laboratory, School of Computing Sciences and Informatics, University of Cincinnati, Cincinnati, OH
Venue:
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Year:
2012

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Abstract

Silhouettes were defined as measures of clustering quality in the context of crisp partitions. This study extends the work that generalized silhouettes to fuzzy partitions in a natural profound manner. As opposed to constructing silhouettes for each data point, described here is the construction of silhouettes for each cluster center in terms of center-to-point distances rather than point-to-point distances.