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Dynamic Incremental Fuzzy C-Means Clustering

Authors:
Bryant Aaron
Dan Tamir
Naphtali Rishe
Abraham Kandel

Keywords: Clustering; Fuzzy C-Means Clustering; Incremental Clustering; Dynamic Clustering; Data-mining.

Abstract:
Researchers have observed that multistage clustering can accelerate convergence and improve clustering quality. Two-stage and two-phase fuzzy C-means (FCM) algorithms have been reported. In this paper, we demonstrate that the FCM clustering algorithm can be improved by the use of static and dynamic single-pass incremental FCM procedures.

Pages: 28 to 37

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-61208-343-8

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014