Support Vector Clustering with an Optimal Parameter Search Method and Its Application to Emotion Classification of Music

Support Vector Clustering with an Optimal Parameter Search Method and Its Application to Emotion Classification of Music

博士 === 國立成功大學 === 電機工程學系碩博士班 === 97 === Support vector clustering (SVC) has been widely researched in both theoretical development and practical applications due to its outstanding features—arbitrary-shaped cluster representations. SVC involves three main steps: 1) finding the hyper-sphere by solvin...

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Bibliographic Details
Main Authors:	Jen-Chieh Chiang, 姜仁傑
Other Authors:	Jeen-Shing Wang
Format:	Others
Language:	en_US
Published:	2009
Online Access:	http://ndltd.ncl.edu.tw/handle/61693266273289932298

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