Parallel Fuzzy c-Means Cluster Analysis
Marta Modenesi (COPPE/Federal University of Rio de Janeiro)Myrian Costa (COPPE/Federal University of Rio de Janeiro)
Alexandre Evsukoff (COPPE/Federal University of Rio de Janeiro)
Nelson Ebecken (COPPE/Federal University of Rio de Janeiro)
Abstract:
This work presents an implementation of a parallel Fuzzy c-means cluster analysis tool, which implements both aspects of cluster investigation: the calculation of clusters’ centers with the degrees of membership of records to clusters, and the determination of the optimal number of clusters for a given dataset using the PBM index.
Keywords:
Cluster and Grid Computing, Data Processing, Parallel and Distributed Computing,
