PCA特征提取+fisher分类器Matlab实现

[{"title":"（ 14 个子文件 54KB ） PCA特征提取+fisher分类器Matlab实现","children":[{"title":"PCA_Fisher","children":[{"title":"PcaEigenSpace.mat <span style='color:#111;'> 41.53KB </span>","children":null,"spread":false},{"title":"PcaEigenSpace.m <span style='color:#111;'> 533B </span>","children":null,"spread":false},{"title":"PcaSvmTrnData.mat <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"pc_evectors.m <span style='color:#111;'> 3.86KB </span>","children":null,"spread":false},{"title":"PcaSvmTstData.m <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"PcaSvmTrnData.m <span style='color:#111;'> 2.06KB </span>","children":null,"spread":false},{"title":"PcaSvmTstData.mat <span style='color:#111;'> 1.04KB </span>","children":null,"spread":false},{"title":"ReadTrainingImages.m <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"fisher.m <span style='color:#111;'> 1.50KB </span>","children":null,"spread":false},{"title":"VBRow_max_min.mat <span style='color:#111;'> 313B </span>","children":null,"spread":false},{"title":"PcaSvmMain.m <span style='color:#111;'> 1.22KB </span>","children":null,"spread":false},{"title":"PcaVBPrinSpace.m <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"sortem.m <span style='color:#111;'> 490B </span>","children":null,"spread":false},{"title":"Normalize.m <span style='color:#111;'> 234B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]