文件名称:MatlabClassificationToolbox

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 3.58mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • o***
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Toolbox in Matlab for pattern recognition
(系统自动生成,下载前可以参看下载内容)

下载文件列表

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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