SPHERE PACKING FOR CLUSTERING SETS OF VECTORS IN FEATURE SPACE

被引：0

作者：

Garcia-Garcia, Dario ^{[1
]}

Santos-Rodriguez, Raul ^{[1
]}

机构：

[1] Univ Carlos III Madrid, Signal Theory & Commun Dept, Leganes 28911, Spain

来源：

2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年

关键词：

Clustering; kernel methods; sequences;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We propose a method for clustering sets of vectors by packing spheres learnt to represent the support of the different sets. The algorithm can work efficiently in a kernel-induced feature space by using the kernel trick. Experimental results on synthetic and real-world datasets show that the proposal is competitive with the state of the art.

引用

页码：2092 / 2095

页数：4

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