Feature Extraction Using Principal Component Analysis and Support Vectors Machines

Feature Extraction Using Principal Component Analysis and Support Vectors Machines

碩士 === 國立中央大學 === 電機工程研究所 === 96 === Several studies have been reported that the characteristics of data sets are directly correlated with the capability of the classifier. Therefore, a study in the cognition is conceived, and we suggest the feature optimization. It adds necessary features based o...

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Bibliographic Details
Main Authors:	Yong-Di Huang, 黃勇迪
Other Authors:	Yau-Tarng Juang
Format:	Others
Language:	en_US
Published:	2008
Online Access:	http://ndltd.ncl.edu.tw/handle/3mx59e

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