Supervised Learning Approaches and Feature Selection - A Case Study in Diabetes
碩士 === 中原大學 === 電子工程研究所 === 97 === Abstract Data description and classification are interesting and important tasks which are applied widely in supervised learning. In this thesis, three supervised learning methods are considered: k-Nearest Neighbor (k-NN), Support Vector Data Description (SVDD) and...
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/17100265072485850834 |