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
收藏
页码：1146 / 1149
页数：4
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