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Description: Linear discriminant analysis (LDA): projects high-dimensional samples into the best discriminant vector space to extract classification information and compress the dimension of special space. After projection, it ensures that the samples have the maximum inter class distance and the minimum intra class distance in the new subspace.
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|Fisher.m|| 1394 || 2021-01-12
|logistic.m|| 1306 || 2021-01-12
|Logistic回归.docx|| 135847 || 2021-01-12
|线性判别分析.docx|| 72541 || 2021-01-12|