Unsupervised Distributed Clustering

D.K. Tasoulis and M.N. Vrahatis (Greece)

Keywords

Distributed KnowledgebasedSystems, Data Mining, Clus tering, High Performance Computing

Abstract

Clustering can be defined as the process of partitioning a set of patterns into disjoint and homogeneous meaning ful groups, called clusters. The growing need for dis tributed clustering algorithms is attributed to the huge size of databases that is common nowadays. In this paper we propose a modification of a recently proposed algorithm, namely k-windows, that is able to achieve high quality re sults in distributed computing environments.

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