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UNSUPERVISED DISTRIBUTED CLUSTERING

机译:未经监督的分布式集群

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摘要

Clustering can be defined as the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups, called clusters. The growing need for distributed 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 results in distributed computing environments.
机译:聚类可以定义为将一组模式分为不相交的同质有意义组(称为聚类)的过程。对分布式集群算法的日益增长的需求归因于当今常见的庞大数据库。在本文中,我们提出了对最近提出的算法的改进,即k-windows,它能够在分布式计算环境中获得高质量的结果。

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