A penalized fuzzy clustering algorithm

Authors:
Miin-Shen Yang;Wen-Liang Hung;Chia-Hsuan Chang
Affiliations:
Department of Applied Mathematics, Chung Yuan Christian University, Chung-Li, Taiwan, ROC;Department of Applied Mathematics, National Hsinchu University of Education, Hsin-Chu, Taiwan, ROC;Department of Applied Mathematics, Chung Yuan Christian University, Chung-Li, Taiwan, ROC
Venue:
ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
Year:
2006

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Abstract

In this paper, we propose a penalized inter-cluster separation (PICS) fuzzy clustering algorithm by adding a penalty term to the inter-cluster separation (ICS) algorithm. Numerical comparisons are made for several fuzzy clustering algorithms according to criteria of accuracy and computational efficiency. The results show that the PICS has better accuracy and efficiency. Image segmentation is an important step in any image analysis system. Existing various segmentation methods for magnetic resonance image (MRI) have been used to differentiate abnormal and normal tissues. We apply the PICS algorithm to the MRI segmentation of an ophthalmic patient. In these MRI segmentation results, we find that PICS provides useful information as an aid to diagnosis in ophthalmology.