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Title: MatlabClassificationToolbox Download
 Description: Toolbox in Matlab for pattern recognition
 Downloaders recently: [More information of uploader omga27]
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MatlabClassificationToolbox
...........................\ArtificialData
...........................\..............\gramschmidt_stable.m
...........................\..............\gramschmidt_stable.zip
...........................\..............\uniformc.m
...........................\..............\uniformc.zip
...........................\barplotres.m
...........................\Classifiers
...........................\...........\binclas.m
...........................\...........\DecisionTree
...........................\...........\............\bestattr.m
...........................\...........\............\cvalid.m
...........................\...........\............\DecisionTree.zip
...........................\...........\............\discretize.m
...........................\...........\............\DTclassifier.m
...........................\...........\............\DTlearning.m
...........................\...........\............\DTtest.m
...........................\...........\............\DTtestbranch.m
...........................\...........\............\DTtraintest.m
...........................\...........\............\entropy.m
...........................\...........\............\iris.txt
...........................\...........\............\maketree.m
...........................\...........\............\mvote.m
...........................\...........\dsinfo.m
...........................\...........\DTclassifierf.m
...........................\...........\GaussianClassifier
...........................\...........\GaussianClassifier.zip
...........................\...........\gaussianclassifierf.m
...........................\...........\GaussianClassifier\edist.m
...........................\...........\..................\gaussianclassifier.m
...........................\...........\..................\get_clcov.m
...........................\...........\..................\get_clmeans.m
...........................\...........\..................\iris.txt
...........................\...........\..................\ml_cov.m
...........................\...........\..................\ml_mean.m
...........................\...........\..................\mvgauss.m
...........................\...........\getcldat.m
...........................\...........\GMMClassifier
...........................\...........\GMMclassifierf.m
...........................\...........\...Classifier\EM.m
...........................\...........\.............\get_clcov.m
...........................\...........\.............\get_clmeans.m
...........................\...........\.............\GMMclassifier.m
...........................\...........\.............\GMMClassifier.zip
...........................\...........\.............\iris.txt
...........................\...........\.............\kmeans.zip
...........................\...........\.............\kmeans_init.m
...........................\...........\.............\kmeans_script.m
...........................\...........\.............\mixprob.m
...........................\...........\.............\ml_cov.m
...........................\...........\.............\ml_init.m
...........................\...........\.............\ml_mean.m
...........................\...........\.............\mvgauss_stp.m
...........................\...........\kNNClassifier
...........................\...........\kNNClassifier.zip
...........................\...........\knnclassifierf.m
...........................\...........\.NNClassifier\cvalid.m
...........................\...........\.............\edist.m
...........................\...........\.............\getcvfold.m
...........................\...........\.............\get_clmeans.m
...........................\...........\.............\iris.txt
...........................\...........\.............\knnclassifier.asv
...........................\...........\.............\knnclassifier.m
...........................\...........\.............\kNNClassifier.zip
...........................\...........\.............\ml_mean.m
...........................\...........\ldclassif

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