Intrusion Detection Base On Linear Discriminant Analysis
碩士 === 國立臺灣科技大學 === 資訊管理系 === 104 === Binary classification based on a feature vector is a long-standing problem. Linear discriminant analysis proposed by Fisher finds a linear combination of features such that the ratio of the variation between class to the variation within class is maximized. This...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/08290456993072575831 |
| Summary: | 碩士 === 國立臺灣科技大學 === 資訊管理系 === 104 === Binary classification based on a feature vector is a long-standing problem. Linear discriminant analysis proposed by Fisher finds a linear combination of features such that the ratio of the variation between class to the variation within class is maximized. This thesis studies empirically the behavior of the linear discriminant analysis method, specifically on the feature selection problem.
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