A harmony search algorithm for clustering with feature selection

被引：0

作者：

Cobos, Carlos ^{[1
,2
]}

Leon, Elizabeth ^{[2
]}

Mendoza, Martha ^{[1
]}

机构：

[1] Univ Cauca, Informat Technol Res Grp GTI, Elect & Telecommun Engn Fac, Sector Tulcan Off FIET 422, Popayan, Colombia

[2] Univ Nacl Colombia, Res Lab Intelligent Syst LISI, Bogota, Colombia

来源：

REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA | 2010年 / 55期

关键词：

harmony search; clustering; feature selection;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents a new clustering algorithm, called IHSK, with feature selection in a linear order of complexity. The algorithm is based on the combination of the harmony search and K-means algorithms. Feature selection uses both the concept of variability and a heuristic method that penalizes the presence of dimensions with a low probability of contributing to the current solution. The algorithm was tested with sets of synthetic and real data, obtaining promising results.

引用

页码：153 / 164

页数：12

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