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pca+svm

于 2019-12-25 发布
0 116
下载积分: 1 下载次数: 2

代码说明:

说明:  pca-svm的人脸识别,利用pca进行人脸特征提取,再利用svm进行聚类分析(Face recognition based on PCA SVM)

文件列表:

.idea\inspectionProfiles\profiles_settings.xml, 174 , 2019-12-24
.idea\misc.xml, 299 , 2019-12-24
.idea\modules.xml, 265 , 2019-12-24
.idea\svm.iml, 399 , 2019-12-24
.idea\workspace.xml, 7579 , 2019-12-24
data\README, 1579 , 2018-07-09
data\s1, 0 , 2019-12-24
data\s1\1.pgm, 10318 , 2018-07-09
data\s1\10.pgm, 10318 , 2018-07-09
data\s1\2.pgm, 10318 , 2018-07-09
data\s1\3.pgm, 10318 , 2018-07-09
data\s1\4.pgm, 10318 , 2018-07-09
data\s1\5.pgm, 10318 , 2018-07-09
data\s1\6.pgm, 10318 , 2018-07-09
data\s1\7.pgm, 10318 , 2018-07-09
data\s1\8.pgm, 10318 , 2018-07-09
data\s1\9.pgm, 10318 , 2018-07-09
data\s10, 0 , 2019-12-24
data\s10\1.pgm, 10318 , 2018-07-09
data\s10\10.pgm, 10318 , 2018-07-09
data\s10\2.pgm, 10318 , 2018-07-09
data\s10\3.pgm, 10318 , 2018-07-09
data\s10\4.pgm, 10318 , 2018-07-09
data\s10\5.pgm, 10318 , 2018-07-09
data\s10\6.pgm, 10318 , 2018-07-09
data\s10\7.pgm, 10318 , 2018-07-09
data\s10\8.pgm, 10318 , 2018-07-09
data\s10\9.pgm, 10318 , 2018-07-09
data\s11, 0 , 2019-12-24
data\s11\1.pgm, 10318 , 2018-07-09
data\s11\10.pgm, 10318 , 2018-07-09
data\s11\2.pgm, 10318 , 2018-07-09
data\s11\3.pgm, 10318 , 2018-07-09
data\s11\4.pgm, 10318 , 2018-07-09
data\s11\5.pgm, 10318 , 2018-07-09
data\s11\6.pgm, 10318 , 2018-07-09
data\s11\7.pgm, 10318 , 2018-07-09
data\s11\8.pgm, 10318 , 2018-07-09
data\s11\9.pgm, 10318 , 2018-07-09
data\s12, 0 , 2019-12-24
data\s12\1.pgm, 10318 , 2018-07-09
data\s12\10.pgm, 10318 , 2018-07-09
data\s12\2.pgm, 10318 , 2018-07-09
data\s12\3.pgm, 10318 , 2018-07-09
data\s12\4.pgm, 10318 , 2018-07-09
data\s12\5.pgm, 10318 , 2018-07-09
data\s12\6.pgm, 10318 , 2018-07-09
data\s12\7.pgm, 10318 , 2018-07-09
data\s12\8.pgm, 10318 , 2018-07-09
data\s12\9.pgm, 10318 , 2018-07-09
data\s13, 0 , 2019-12-24
data\s13\1.pgm, 10318 , 2018-07-09
data\s13\10.pgm, 10318 , 2018-07-09
data\s13\2.pgm, 10318 , 2018-07-09
data\s13\3.pgm, 10318 , 2018-07-09
data\s13\4.pgm, 10318 , 2018-07-09
data\s13\5.pgm, 10318 , 2018-07-09
data\s13\6.pgm, 10318 , 2018-07-09
data\s13\7.pgm, 10318 , 2018-07-09
data\s13\8.pgm, 10318 , 2018-07-09
data\s13\9.pgm, 10318 , 2018-07-09
data\s14, 0 , 2019-12-24
data\s14\1.pgm, 10318 , 2018-07-09
data\s14\10.pgm, 10318 , 2018-07-09
data\s14\2.pgm, 10318 , 2018-07-09
data\s14\3.pgm, 10318 , 2018-07-09
data\s14\4.pgm, 10318 , 2018-07-09
data\s14\5.pgm, 10318 , 2018-07-09
data\s14\6.pgm, 10318 , 2018-07-09
data\s14\7.pgm, 10318 , 2018-07-09
data\s14\8.pgm, 10318 , 2018-07-09
data\s14\9.pgm, 10318 , 2018-07-09
data\s15, 0 , 2019-12-24
data\s15\1.pgm, 10318 , 2018-07-09
data\s15\10.pgm, 10318 , 2018-07-09
data\s15\2.pgm, 10318 , 2018-07-09
data\s15\3.pgm, 10318 , 2018-07-09
data\s15\4.pgm, 10318 , 2018-07-09
data\s15\5.pgm, 10318 , 2018-07-09
data\s15\6.pgm, 10318 , 2018-07-09
data\s15\7.pgm, 10318 , 2018-07-09
data\s15\8.pgm, 10318 , 2018-07-09
data\s15\9.pgm, 10318 , 2018-07-09
data\s16, 0 , 2019-12-24
data\s16\1.pgm, 10318 , 2018-07-09
data\s16\10.pgm, 10318 , 2018-07-09
data\s16\2.pgm, 10318 , 2018-07-09
data\s16\3.pgm, 10318 , 2018-07-09
data\s16\4.pgm, 10318 , 2018-07-09
data\s16\5.pgm, 10318 , 2018-07-09
data\s16\6.pgm, 10318 , 2018-07-09
data\s16\7.pgm, 10318 , 2018-07-09
data\s16\8.pgm, 10318 , 2018-07-09
data\s16\9.pgm, 10318 , 2018-07-09
data\s17, 0 , 2019-12-24
data\s17\1.pgm, 10318 , 2018-07-09
data\s17\10.pgm, 10318 , 2018-07-09
data\s17\2.pgm, 10318 , 2018-07-09
data\s17\3.pgm, 10318 , 2018-07-09
data\s17\4.pgm, 10318 , 2018-07-09

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