Fuzzy cluster validity in magnetic resonance images

Amine M. Bensaid; Lawrence O. Hall; James C. Bezdek; Laurence P. Clarke

doi:10.1117/12.175079

11 May 1994 Fuzzy cluster validity in magnetic resonance images

Amine M. Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175079
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

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.

Citation Download Citation

Amine M. Bensaid, Lawrence O. Hall, James C. Bezdek, and Laurence P. Clarke "Fuzzy cluster validity in magnetic resonance images", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175079

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