Robust kernel fuzzy clustering

Weiwei Du; Kohei Inoue; Kiichi Urahama

Robust kernel fuzzy clustering

Weiwei Du, Kohei Inoue, Kiichi Urahama

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present a method for extracting arbitrarily shaped clusters buried in uniform noise data. The popular k-means algorithm is firstly fuzzified with addition of entropie terms to the objective function of data partitioning problem. This fuzzy clustering is then kernelized for adapting to the arbitrary shape of clusters. Finally, the Euclidean distance in this kernelized fuzzy clustering is modified to a robust one for avoiding the influence of noisy background data. This robust kernel fuzzy clustering method is shown to outperform every its predecessor: fuzzified k-means, robust fuzzified k-means and kernel fuzzified k-means algorithms.

Original language	English
Title of host publication	Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
Publisher	Springer Verlag
Pages	454-461
Number of pages	8
Volume	3613 LNAI
ISBN (Print)	9783540283126
Publication status	Published - 2006
Event	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsa, China Duration: Aug 27 2005 → Aug 29 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3613 LNAI
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
Country/Territory	China
City	Changsa
Period	8/27/05 → 8/29/05

All Science Journal Classification (ASJC) codes

Computer Science(all)
Theoretical Computer Science

Cite this

Du, W., Inoue, K., & Urahama, K. (2006). Robust kernel fuzzy clustering. In Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings (Vol. 3613 LNAI, pp. 454-461). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI). Springer Verlag.

Robust kernel fuzzy clustering. / Du, Weiwei; Inoue, Kohei; Urahama, Kiichi.

Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. Vol. 3613 LNAI Springer Verlag, 2006. p. 454-461 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3613 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Du, W, Inoue, K & Urahama, K 2006, Robust kernel fuzzy clustering. in Fuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings. vol. 3613 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3613 LNAI, Springer Verlag, pp. 454-461, 2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005, Changsa, China, 8/27/05.

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Robust kernel fuzzy clustering

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All Science Journal Classification (ASJC) codes

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