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Proceedings Paper

New measures for evaluating fuzzy partitions induced through c-shells clustering
Author(s): Rajesh N. Dave; Kurra Bhaswan
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Paper 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.

Paper Details

Date Published: 1 February 1992
PDF: 9 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57077
Show Author Affiliations
Rajesh N. Dave, New Jersey Institute of Technology (United States)
Kurra Bhaswan, New Jersey Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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