Description: Contains a lot of classification algorithms, there is SVM, knn, decision tree and so on, have documented
- [knnclassification] - KNN classifier algorithm (matlab source
- [PatternRecognition] - 1.Fisher Classification Algorithm 2. Per
- [2007010238] - Based on Decision Tree and Bayesian pred
- [KNNBP] - KNN and BP algorithm. Enter a series of
- [C4.5-2] - Data Mining in the given decision tree a
- [fs_entropy] - data reduction with fuzzy rough sets or
- [tree] - Decision Tree Algorithm to achieve the m
- [decisiontree] - failed to translate
- [knn] - failed to translate
- [id3matlab] - id3 decision tree！
File list (Check if you may need any files):
MILL
....\bag2instance.m
....\bag_MI_SVM.m
....\Classify.m
....\DD.m
....\EMDD.m
....\evaluate_by_inst_choice.m
....\example.data
....\example2.data
....\GetClassSet.m
....\inst_MI_SVM.m
....\iterdiscrim_APR.m
....\kNN.m
....\LibSVM.m
....\mil2sil.m
....\MIL_Bag_Evaluate.m
....\MIL_Classify.m
....\MIL_Cross_Validate.m
....\MIL_Data_Load.m
....\MIL_Data_Save.m
....\MIL_Inst_Evaluate.m
....\MIL_Leave_One_Out.m
....\mil_review.pdf
....\MIL_Run.m
....\MIL_Scale.m
....\MIL_Size.m
....\MIL_Test_Validate.m
....\MIL_Train_Test_Simple.m
....\MIL_Train_Test_Validate.m
....\MIL_Train_Validate.m
....\OutputRet.m
....\ParseCmd.m
....\ParseParameter.m
....\prob2label.m
....\ReadInput.pl
....\sparse_example.data
....\splitarray.m
....\strsplit.m
....\strtrim.m
....\svm
....\...\elephant.sil.data
....\...\elephant.sil.data.model
....\...\LICENSE.txt
....\...\mySVM.exe
....\...\mySVMpredict.exe
....\...\output.txt
....\...\param2.dat
....\...\param_1Class.dat
....\...\param_RBF.dat
....\...\svmpredict.exe
....\...\svmscale.exe
....\...\svmtoy.exe
....\...\svmtrain.exe
....\...\svm_classify.exe
....\...\svm_learn.exe
....\...\temp.train.txt
....\...\temp.train.txt.model
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