文件名称:Dual
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使用Dual聚类算法对于8种典型的二维图像进行聚类，并对三维图像压缩后进行聚类-Use Dual clustering algorithm for eight kinds of typical two-dimensional image clustering and cluster after a three-dimensional image compression
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下载文件列表
Dual
....\3D_compare.png
....\dual_2D
....\.......\Aggregation.mat
....\.......\Compound.mat
....\.......\D31.mat
....\.......\Datasets_from_literature.png
....\.......\Dual_clust.m
....\.......\flame.mat
....\.......\get_dist_cons.m
....\.......\get_dist_opt.m
....\.......\help_libsvm_options.m
....\.......\Hierarchical_Clustering_test.m
....\.......\jain.mat
....\.......\libsvm
....\.......\......\.DS_Store
....\.......\......\COPYRIGHT
....\.......\......\FAQ.html
....\.......\......\guide.pdf
....\.......\......\heart_scale
....\.......\......\heart_scale.mat
....\.......\......\iris
....\.......\......\irisdata.mat
....\.......\......\java
....\.......\......\....\libsvm
....\.......\......\....\libsvm.jar
....\.......\......\....\......\svm.java
....\.......\......\....\......\svm.m4
....\.......\......\....\......\svm_model.java
....\.......\......\....\......\svm_node.java
....\.......\......\....\......\svm_parameter.java
....\.......\......\....\......\svm_print_interface.java
....\.......\......\....\......\svm_problem.java
....\.......\......\....\Makefile
....\.......\......\....\svm_predict.java
....\.......\......\....\svm_scale.java
....\.......\......\....\svm_toy.java
....\.......\......\....\svm_train.java
....\.......\......\....\test_applet.html
....\.......\......\Makefile
....\.......\......\Makefile.win
....\.......\......\matlab
....\.......\......\......\.DS_Store
....\.......\......\......\libsvmread.c
....\.......\......\......\libsvmread.mexmaci64
....\.......\......\......\libsvmread.mexw64
....\.......\......\......\libsvmwrite.c
....\.......\......\......\libsvmwrite.mexmaci64
....\.......\......\......\libsvmwrite.mexw64
....\.......\......\......\make.m
....\.......\......\......\Makefile
....\.......\......\......\README
....\.......\......\......\svmpredict.c
....\.......\......\......\svmpredict.mexmaci64
....\.......\......\......\svmpredict.mexw64
....\.......\......\......\svmtrain.c
....\.......\......\......\svmtrain.mexmaci64
....\.......\......\......\svmtrain.mexw64
....\.......\......\......\svm_model_matlab.c
....\.......\......\......\svm_model_matlab.h
....\.......\......\python
....\.......\......\......\Makefile
....\.......\......\......\README
....\.......\......\......\svm.py
....\.......\......\......\svmutil.py
....\.......\......\README
....\.......\......\svm-predict.c
....\.......\......\svm-scale.c
....\.......\......\svm-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