A clustering method to distribute a database on a grid

被引：3

作者：

Fiolet, Valerie

Toursel, Bernard

机构：

[1] Univ Lille 1, Lab Informat Fondamentale Lille, CNRS, UMR 8022, F-59655 Villeneuve Dascq, France

[2] Univ Mons, B-7000 Mons, Belgium

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS | 2007年 / 23卷 / 08期

关键词：

grid and parallel computings; data mining; clustering;

D O I：

10.1016/j.future.2007.04.013

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Clusters and grids of workstations provide available resources for data mining processes. To exploit these resources, new distributed algorithms are necessary, particularly concerning the way to distribute data and to use this partition. We present a clustering algorithm dubbed Progressive Clustering that provides an "intelligent" distribution of data on grids. The usefulness of this algorithm is shown for several distributed datamining tasks. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：997 / 1002

页数：6

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