A Two-step Clustering Algorithm of Transaction Database in E-commerce Based on SOM

doi:10.3969/j.issn.1006-2475.2009.12.010

Computer and Modernization ›› 2009, Vol. 1 ›› Issue (12): 36-38,1.doi: 10.3969/j.issn.1006-2475.2009.12.010

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A Two-step Clustering Algorithm of Transaction Database in E-commerce Based on SOM

YI Hua-rong

Computer and Communications College, Hunan University of Technology, Zhuzhou 412007, China

Received:2008-12-18 Revised:1900-01-01 Online:2009-11-27 Published:2009-11-27

Abstract

Abstract: This paper studies a clustering algorithm of transaction database based on self-organizing map(SOM) neural network. The method first uses SOM to produce a clustering result by learning data item of transaction database. Then, in the second stage, the clustering results are clustered again. To compare with other clustering method for transaction database, the method performs well and reduces runtime.

Key words: transaction database, self-organizing map, VSM, clustering

CLC Number:

TP311

YI Hua-rong. A Two-step Clustering Algorithm of Transaction Database in E-commerce Based on SOM[J]. Computer and Modernization, 2009, 1(12): 36-38,1.

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A Two-step Clustering Algorithm of Transaction Database in E-commerce Based on SOM

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