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Efficient parallel hierarchical clustering algorithms

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1 Author(s)
Rajasekaran, S. ; Dept. of Comput. & Sci. Eng., Connecticut Univ., Storrs, CT, USA

Clustering of data has numerous applications and has been studied extensively. Though most of the algorithms in the literature are sequential, many parallel algorithms have also been designed. In this paper, we present parallel algorithms with better performance than known algorithms. We consider algorithms that work well in the worst case as well as algorithms with good expected performance.

Published in:

Parallel and Distributed Systems, IEEE Transactions on  (Volume:16 ,  Issue: 6 )