Applying Support Vector Data Description For Data Classification
碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 101 === Support Vector Data Description (SVDD) was developed by Tax and Duin in 1999. The objective of SVDD is to obtain a shaped decision boundary with minimum volume around a dataset. SVDD was firstly developed to detecting outliers. In this study, the SVDD will b...
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61401033111710951818 |