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Proceedings Paper

Fuzzy cluster validity in magnetic resonance images
Author(s): Amine M. Bensaid; Lawrence O. Hall; James C. Bezdek; Laurence P. Clarke
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Paper Abstract

Individual cluster validation has not received as much attention as partition validation. This paper presents two measures for evaluating individual clusters in a fuzzy partition. They both account for properties of the fuzzy memberships as well as the structure of the data. The first measure is a ratio between compactness and separation of the fuzzy clusters; the second is based on counting a contradiction between properties of the fuzzy memberships and the stucture of the data. These two measures are applied and compared in evaluating fuzzy clusters generated by the fuzzy c-means algorithm for segmentation of magnetic resonance images of the brain.

Paper Details

Date Published: 11 May 1994
PDF: 11 pages
Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175079
Show Author Affiliations
Amine M. Bensaid, Univ. of South Florida (United States)
Lawrence O. Hall, Univ. of South Florida (United States)
James C. Bezdek, Univ. of West Florida (United States)
Laurence P. Clarke, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 2167:
Medical Imaging 1994: Image Processing
Murray H. Loew, Editor(s)

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