Dynamic Incremental Fuzzy C-Means Clustering

نویسندگان

  • Bryant Aaron
  • Dan E. Tamir
  • Naphtali D. Rishe
  • Abraham Kandel
چکیده

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

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تاریخ انتشار 2014