A new fuzzy clustering algorithms based on transformed data

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Accession number:20094612446675

Title: A new fuzzy clustering algorithms based on transformed data Authors: Liu, Hsiang-Chuan (1); Jeng, Bai-Cheng (2); Wu, Der-Bang (2); Lo, Yi-Hsiang (2)

Author affiliation:(1) Department of Bioinformatics, Asia University, Taichung, 41354, Taiwan; (2) Graduate Institute of Educational Measurement, Taichung University, Taichung, 40306, Taiwan; (3) Department of Mathematics Education, Taichung University, Taichung, 40306, Taiwan

Corresponding author:Liu, H.-C.

([email protected])

Source title: Proceedings of the 2009 International Conference on Machine Learning and Cybernetics

Abbreviated source title:Proc. Int. Conf. Mach. Learn. Cybern.

Volume:5

Monograph title:Proceedings of the 2009 International Conference on Machine Learning and Cybernetics

Issue date:2009

Publication year:2009 Pages:3036-3041

Article number:5212627 Language:English

ISBN-13:9781424437030

Document type:Conference article (CA)

Conference name:2009 International Conference on Machine Learning and Cybernetics

Conference date:July 12, 2009 - July 15, 2009 Conference location:Baoding, China

Conference code:78063

Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States

Abstract:The popular fuzzy c-means algorithm (FCM) is an objective function based clustering method. Hence, different objective

function may lead to different results. The important issue is how to get a more compact and separable objective function to improve the cluster accuracy. The objective function of the well known improved algorithm, FCS, is a generalization of the FCM objective function by

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combining fuzzy within- and between-cluster variations. In this paper, considering a more separable data transformation, the improved new algorithm, "Fuzzy Transformed C-Mean (FTCM)", is proposed. Three real data sets were applied to prove that the performance of the FTCM algorithm is better than the conventional FCM algorithm and the FCS algorithm. © 2009 IEEE.

Number of references:7

Main heading:Clustering algorithms

Controlled terms: Control theory - Copying - Cybernetics - Fuzzy clustering - Fuzzy rules - Fuzzy systems - Robot learning

Uncontrolled terms: Between-cluster variation - Data transformation - FCM - FCM algorithm - FCS - FCS algorithms - FTCM - Fuzzy C-

means algorithms - Improved algorithm - Objective function-based clustering - Objective functions - Real data sets

Classification code:961 Systems Science - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 903.2 Information Dissemination - 903.1 Information Sources and Analysis - 745.2 Reproduction, Copying - 731.5 Robotics - 731.1 Control Systems - 723.4 Artificial Intelligence - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements - 461.9 Biology

DOI:10.1109/ICMLC.2009.5212627 Database:Compendex