Features selection analysis for pattern classification

被引：1

作者：

Piriyakul, R. ^{[1
,2
]}

Piarnsa-Riga, P. ^{[1
]}

机构：

[1] Kasetsart Univ, Bangkok, Thailand

[2] Ramkhamhang Univ, Bangkok 10240, Thailand

来源：

2007 ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS | 2007年

关键词：

D O I：

10.1109/APCC.2007.4433497

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the medical image detection after segmentation, the features from each domain such as spatial, texture, spectral domain have been extracted for detection. With no regard to other unknown features, these features are sometime redundant. This paper proposes a factor analysis for a reduction features procedure and constructs ways to fulfill good detection by using an optimal features set.

引用

页码：37 / +

页数：2

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