<title>New measures for evaluating fuzzy partitions induced through c-shells clustering</title>

Abstract

New performance measures for evaluating fuzzy partitions obtained through c-shells clustering are introduced. It is shown that the conventional measures for the fuzzy partitions do not perform well for the FCS clustering. A new set of indices are introduced to evaluate the structure characterized by the FCS algorithms. Examples are presented to demonstrate the superiority of the criteria proposed over the existing ones.