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Fuzzy c-means density based clustering using data induced metric

Beliakov, Gleb and King, Matthew 2005, Fuzzy c-means density based clustering using data induced metric, in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, ACTA Press, Anaheim, CA, pp. 234-239.

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Title Fuzzy c-means density based clustering using data induced metric
Author(s) Beliakov, Gleb
King, Matthew
Conference name Artificial Intelligence and Applications (2005 : Innsbruck, Austria)
Conference location Innsbruck, Austria
Conference dates 14-16 February 2005
Title of proceedings Proceedings of the IASTED International Conference on Artificial Intelligence and Applications
Editor(s) Hamza, M.H.
Publication date 2005
Conference series International Association of Science and Technology for Development Conference on Artficial Intelligence and Applications
Start page 234
End page 239
Publisher ACTA Press
Place of publication Anaheim, CA
Keyword(s) clustering
unsupervised classification
fuzzy c-means
data induced metric
density estimation
Summary We propose a new data induced metric to perform un supervised data classification (clustering). Our goal is to automatically recognize clusters of non-convex shape. We present a new version of fuzzy c-means al gorithm, based on the data induced metric, which is capable to identify non-convex d-dimensional clusters.
ISBN 0889864578
9780889864573
Language eng
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005761

Document type: Conference Paper
Collection: School of Information Technology
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