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We propose a parallel graph-based data clustering algorithm using CUDA GPU,based on exact clustering of the minimum spanning tree in terms of a minimumisoperimetric criteria. We also provide a comparative performance analysis ofour algorithm with other related ones which demonstrates the generalsuperiority of this parallel algorithm over other competing algorithms in termsof accuracy and speed.

An Efficient Parallel Data Clustering Algorithm Using Isoperimetric Number of Trees