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Fuzzy c-means density based clustering using data induced metric
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.
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Artificial Intelligence and Applications (2005 : Innsbruck, Austria)Pagination
234 - 239Publisher
ACTA PressLocation
Innsbruck, AustriaPlace of publication
Anaheim, CAStart date
2005-02-14End date
2005-02-16ISBN-13
9780889864573ISBN-10
0889864578Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2005, ACTA PressEditor/Contributor(s)
M HamzaTitle of proceedings
Proceedings of the IASTED International Conference on Artificial Intelligence and ApplicationsUsage metrics
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