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Fuzzy c-means density based clustering using data induced metric

conference contribution
posted on 2005-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, M King
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.

History

Event

Artificial Intelligence and Applications (2005 : Innsbruck, Austria)

Pagination

234 - 239

Publisher

ACTA Press

Location

Innsbruck, Austria

Place of publication

Anaheim, CA

Start date

2005-02-14

End date

2005-02-16

ISBN-13

9780889864573

ISBN-10

0889864578

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2005, ACTA Press

Editor/Contributor(s)

M Hamza

Title of proceedings

Proceedings of the IASTED International Conference on Artificial Intelligence and Applications

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