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Parallel algorithms for hierarchical clustering and cluster validity

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1 Author(s)
X. Li ; Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada

Parallel algorithms on SIMD (single-instruction stream multiple-data stream) machines for hierarchical clustering and cluster validity computation are proposed. The machine model uses a parallel memory system and an alignment network to facilitate parallel access to both pattern matrix and proximity matrix. For a problem with N patterns, the number of memory accesses is reduced from O(N 3) on a sequential machine to O(N2) on an SIMD machine with N PEs

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:12 ,  Issue: 11 )