Support Vector Clustering for multiclass classification problems

被引：0

作者：

Sun, BY ^{[1
]}

Huang, DS ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Machine Intelligence, Hefei, Anhui, Peoples R China

来源：

CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper we propose a new approach by combining Support Vector Clustering (SVC) with a two layered neural network for multiclass classification problems. This new approach is not only capable of improving the performance of the traditional SVC, but also, compared to Support Vector Machines (SVM), can reduce the computational complexity and get better performance in the case of multiclass problems. Finally, the experimental results demonstrate the effectiveness and efficiency of our approach.

引用

页码：1480 / 1485

页数：6

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