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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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61693266273289932298 |