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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Validity-guided (re)clustering with applications to image segmentation
IEEE Transactions on Fuzzy Systems, Volume 4, No. 2, Year 1996
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Description
When clustering algorithms are applied to image segmentation, the goal is to solve a classification problem. However, these algorithms do not directly optimize classification quality. As a result, they are susceptible to two problems: P1) the criterion they optimize may not be a good estimator of "true" classification quality, and P2) they often admit many (suboptimal) solutions. This paper introduces an algorithm that uses cluster validity to mitigate P1 and P2. The validity-guided (re)clustering (VGC) algorithm uses cluster-validity information to guide a fuzzy (re)clustering process toward better solutions. It starts with a partition generated by a soft or fuzzy clustering algorithm. Then it iteratively alters the partition by applying (novel) split-and-merge operations to the clusters. Partition modifications that result in improved partition validity are retained. VGC is tested on both synthetic and real-world data. For magnetic resonance image (MRI) segmentation, evaluations by radiologists show that VGC outperforms the (unsupervised) fuzzy c-means algorithm, and VGC's performance approaches that of the (supervised) k-nearest-neighbors algorithm. © 1996 IEEE.
Authors & Co-Authors
Bensaid, Amine M.
United States, New York
Ieee
Morocco, Ifrane
Al Akhawayn University
Hall, Lawrence O.
United States, New York
Ieee
United States, Tampa
University of South Florida, Tampa
Bezdek, James C.
United States, New York
Ieee
United States, Pensacola
University of West Florida
Clarke, Laurence P.
United States, Tampa
University of South Florida, Tampa
Silbiger, Martin L.
United States, Tampa
University of South Florida, Tampa
Arrington, John A.
United States, Tampa
University of South Florida, Tampa
Murtagh, Reed F.
United States, Tampa
University of South Florida, Tampa
Statistics
Citations: 460
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1109/91.493905
ISSN:
10636706