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README
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README
To use this library
1. Download all libraries in the list (we have 1-6 libraries in this toolbox. function/OutSource
1.liblinear (recommend the latest ver.)
2.libsvm (recommend the latest ver.)
3.litekmeans.m
there are many sources and I don't know who implemented this first
https://jp.mathworks.com/matlabcentral/fileexchange/53921-code-of-the-paper--graph-clustering-by-congruency-approximation-/content/CAC_for_clustering_demo_2015/related/litekmeans.m
https://github.com/trigeorgis/Deep-Semi-NMF/blob/master/matlab/eval/litekmeans.m
4.MLkNN,BP-MLL,LEAD,LIFT,MLNB,ML-RBF,RankSVM from Prof. Min-Ling Zhang' site
http://cse.seu.edu.cn/PersonalPage/zhangml/
MLkNN:http://cse.seu.edu.cn/PersonalPage/zhangml/files/ML-kNN.rar
RankSVM:http://cse.seu.edu.cn/PersonalPage/zhangml/files/RankSVM.rar
BP-MLL:http://cse.seu.edu.cn/PersonalPage/zhangml/files/bp-mll.rar
ML-RBF:http://cse.seu.edu.cn/PersonalPage/zhangml/files/ML-RBF.rar
MLNB:http://cse.seu.edu.cn/PersonalPage/zhangml/files/MLNB.rar
LEAD:http://cse.seu.edu.cn/PersonalPage/zhangml/files/LEAD.rar
5.LSDR methods implemented by Dr. Hsuan-Tien Lin https://www.csie.ntu.edu.tw/~htlin/
mlc_lsdr: https://github.com/hsuantien/mlc_lsdr
6.CLMLC,MLSF,MLC_MATLAB implemented by Dr. Lu Sun:
CLMLC:https://github.com/futuresun912/CLMLC
MLSF: https://github.com/futuresun912/MLSF
MLC_MATLAB:https://github.com/futuresun912/MLC_Matlab
7. SLEECcode from http://www.manikvarma.org/
2. Change functions and file names implemented by Prof. Min-Ling Zhang, (not necessary now)
UNFORTUNATELY, our naming rules are overlapped to his rule. (algorithm_train.m or algorithm_test.m)
1. For Rank-SVM
1.filename:RankSVM_train, RankSVM_test ---> RankSVM_train_raw.m RankSVM_test_raw.m
2.function name: RankSVM_train_raw RankSVM_test_raw , respectively
3.contents: RSVM_test returns some evalution results such as Hamming_loss. in this library, its unneccessary. so delete them
DELETE the last senteces:
HammingLoss=Hamming_loss(Pre_Labels,test_target);
RankingLoss=Ranking_loss(Outputs,test_target);
OneError=One_error(Outputs,test_target);
Coverage=coverage(Outputs,test_target);
Average_Precision=Average_precision(Outputs,test_target);
CHANGE Return values as function [Outputs,Threshold,Pre_Labels] =RSVM_test...
3. run CompileMEXfunctions.m
4. Enjoy MLC