Clustering algorithm for Cellular Radio Network Planning based on Renyi's entropy and support vector

被引：0

作者：

Wang, J ^{[1
]}

Peng, XY ^{[1
]}

Peng, Y ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Automat Measurement & Control, Harbin 150001, Peoples R China

来源：

ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS | 2005年

关键词：

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Radio cell clustering is important to Cellular Radio Network Planning for traffic prediction in cellular network. And clustering algorithm should be qualified for arbitrary shape clustering. In this research, a novel clustering algorithm based on Renyi's entropy and support vector is proposed. Support vector clustering does the divisive clustering to generate initial small clusters for next step Renyi's entropy clustering. Experiment results showed this algorithm was qualified for arbitrary shape dataset clustering.

引用

页码：1447 / 1450

页数：4

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