Dimitris K. Tasoulis, Panagiotis D. Alevizos, Basilis Boutsinas, Michael N. Vrahatis  Home/Search
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Abstract: Clustering can be defined as the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups (clusters) . There is a growing need for parallel algorithms in this field since databases of huge size are common nowadays. This paper presents a parallel version of a recently proposed algorithm that has the ability to scale very well in parallel environments. (Update)
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BibTeX entry: (Update)
@misc{ tasoulis-parallel,
author = "Dimitris K. Tasoulis and Panagiotis D. Alevizos and Basilis Boutsinas and
Michael N. Vrahatis",
title = "Parallel Unsupervised k-Windows: An Efficient Parallel Clustering Algorithm",
url = "citeseer.ist.psu.edu/tasoulis03parallel.html" }
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