Fisher

说明：  线性判别分析（LDA）：将高维的样本投影到最佳鉴别矢量空间，来达到抽取分类信息和压缩特种空间维数的效果，投影后保证样本在新的子空间有最大的类间距离和最小的类内距离。(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.)

Fisher.m, 1394 , 2021-01-12
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线性判别分析.docx, 72541 , 2021-01-12