文件名称:PCAPSVMPRF
介绍说明－－下载内容均来自于网络，请自行研究使用
PCA测试程序，结合SVM及随机森林进行分类，测试PCA降维后对分类精度的影响。-PCA test ,SVM_RandomForest
(系统自动生成,下载前可以参看下载内容)
下载文件列表
PCA+SVM+RF\I_images.mat
..........\I_labels.mat
..........\libsvm-3.20\COPYRIGHT
..........\...........\FAQ.html
..........\...........\heart_scale
..........\...........\heart_scale.mat
..........\...........\java\libsvm\svm.java
..........\...........\....\......\svm.m4
..........\...........\....\......\svm_model.java
..........\...........\....\......\svm_node.java
..........\...........\....\......\svm_parameter.java
..........\...........\....\......\svm_print_interface.java
..........\...........\....\......\svm_problem.java
..........\...........\....\libsvm.jar
..........\...........\....\Makefile
..........\...........\....\svm_predict.java
..........\...........\....\svm_scale.java
..........\...........\....\svm_toy.java
..........\...........\....\svm_train.java
..........\...........\....\test_applet.html
..........\...........\Makefile
..........\...........\Makefile.win
..........\...........\matlab\libsvmread.c
..........\...........\......\libsvmread.mexw64
..........\...........\......\libsvmwrite.c
..........\...........\......\libsvmwrite.mexw64
..........\...........\......\make.m
..........\...........\......\Makefile
..........\...........\......\README
..........\...........\......\svmpredict.c
..........\...........\......\svmpredict.mexw64
..........\...........\......\svmtrain.c
..........\...........\......\svmtrain.mexw64
..........\...........\......\svm_model_matlab.c
..........\...........\......\svm_model_matlab.h
..........\...........\python\Makefile
..........\...........\......\README
..........\...........\......\svm.py
..........\...........\......\svmutil.py
..........\...........\README
..........\...........\svm-predict.c
..........\...........\svm-scale.c
..........\...........\....toy\gtk\callbacks.cpp
..........\...........\.......\...\callbacks.h
..........\...........\.......\...\interface.c
..........\...........\.......\...\interface.h
..........\...........\.......\...\main.c
..........\...........\.......\...\Makefile
..........\...........\.......\...\svm-toy.glade
..........\...........\.......\qt\Makefile
..........\...........\.......\..\svm-toy.cpp
..........\...........\.......\windows\svm-toy.cpp
..........\...........\svm-train.c
..........\...........\svm.cpp
..........\...........\svm.def
..........\...........\svm.h
..........\...........\tools\checkdata.py
..........\...........\.....\easy.py
..........\...........\.....\grid.py
..........\...........\.....\README
..........\...........\.....\subset.py
..........\...........\windows\libsvm.dll
..........\...........\.......\libsvmread.mexw64
..........\...........\.......\libsvmwrite.mexw64
..........\...........\.......\svm-predict.exe
..........\...........\.......\svm-scale.exe
..........\...........\.......\svm-toy.exe
..........\...........\.......\svm-train.exe
..........\...........\.......\svmpredict.mexw64
..........\...........\.......\svmtrain.mexw64
..........\PCA_max_variance.m
..........\PCA_test.m
..........\test_img\img.png
..........\........\img2.png
..........\........\img3.png
..........\libsvm-3.20\java\libsvm
..........\...........\svm-toy\gtk
..........\...........\.......\qt
..........\...........\.......\windows
..........\...........\java
..........\...........\matlab
..........\...........\python
..........\...........\svm-toy
..........\...........\tools
..........\...........\windows
..........\libsvm-3.20
..........\test_img
PCA+SVM+RF