Tissue Classification Algorithm Based on NPE and LS-SVM

被引：0

作者：

Sun Xia ^{[1
]}

Wang Zi-qiang ^{[1
]}

机构：

[1] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450001, Peoples R China

来源：

2009 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE & EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2009年

关键词：

D O I：

10.1109/ITIME.2009.5236251

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Tissue classification with gene expression data is of great importance in medical diagnosis of diseases. To effiiciently cope with this problem, a novel tissue classification algorithm based on neighborhood preserving embedding (NPE) and least square SVM (LS-SVM) is proposed in this paper. The experimental results on four well-known gene expression data sets demonstrate the effectiveness of the proposed algorithm.

引用

页码：1146 / 1149

页数：4

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