Feature Selection Method Based on Support Vector Machine and Cumulative Distribution Function
碩士 === 輔仁大學 === 資訊工程學系 === 98 === Abstract Feature selection is an important method in machine learning and data mining. It reduces dimensionality of data and increases performance in classification and clustering. Zhang et al. (2006) have developed a feature selection algorithm, named as recursive...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06692637254680399272 |