Parallel Fuzzy c-Means Cluster Analysis
نویسندگان
چکیده
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. Topics of Interest: Unsupervised Classification, Fuzzy c-Means, Cluster and Grid Computing.
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تاریخ انتشار 2006