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文件名称:CAIMAN

  • 所属分类：
  • Windows编程
  • 资源属性：
  • [CHM]
  • 上传时间：
  • 2012-11-26
  • 文件大小：
  • 8.77mb
  • 下载次数：
  • 0次
  • 提 供 者：
  • 宁*
  • 相关连接：
  • 无
  • 下载说明：
  • 别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

CAIMAN method是一种通过挖掘数据的帽子矩阵的对角信息来实现对数据分组的方法。-The CAIMAN method (Classification And Influence Matrix ANalysis) is a classification method exploiting the properties of the diagonal terms of the influence matrix, also called leverages.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Caiman

......\Caiman.chm

......\caiman.htm

......\Data

......\....\01-Iris.mat

......\....\02-Wines.mat

......\....\12-Perpot.mat

......\....\16-Membrane.mat

......\HTML_Help

......\.........\APrioriProbability.html

......\.........\AsymmetricCase.html

......\.........\Bank.html

......\.........\BayesianMethods.html

......\.........\Caiman.chm

......\.........\Caiman.hhc

......\.........\Caiman.hhk

......\.........\Caiman.hhp

......\.........\CaimanAsymmetricClassifier.html

......\.........\CaimanClassModellingClassifier.html

......\.........\CaimanDiscriminantClassifier.html

......\.........\CaimanDownloadMatlab.html

......\.........\CAIMANModule.html

......\.........\CaimanResults.html

......\.........\CaimanTheory.html

......\.........\Camel.html

......\.........\CanonicalVariates.html

......\.........\CCVsPC.html

......\.........\Cheese.html

......\.........\ClassCentroid.html

......\.........\ClassCovarianceMatrix.html

......\.........\ClassificationParameters.html

......\.........\ClassificationParameters1.html

......\.........\ClassificationTreeMethods.html

......\.........\classproof.html

......\.........\ClassUnfolding.html

......\.........\ClusterSignificanceAnalysis.html

......\.........\Coffee.html

......\.........\CompactnessAndSeparability.html

......\.........\CrudeOil.html

......\.........\DatasetInformation.html

......\.........\DataSets.html

......\.........\Digits.html

......\.........\Digits1.html

......\.........\DiscriminantScore.html

......\.........\DistancebasedMethods.html

......\.........\DistanceMatrix.html

......\.........\DistanceMeasures.html

......\.........\DistanceMeasuresForBinaryVariables.html

......\.........\Distances.html

......\.........\EmbeddedClusterModelling.html

......\.........\Example.html

......\.........\ExampleIrisDataSet.html

......\.........\ExampleOfCalculationOfClassificationParameters.html

......\.........\FHContent.css

......\.........\FHDisplayToc.js

......\.........\FHHtmlPopups.js

......\.........\FHKeywords.html

......\.........\FHNonscroll.js

......\.........\FHSearch.html

......\.........\FHSearch.js

......\.........\FHSearchForm.js

......\.........\FHSearchResults.html

......\.........\FHTocParas.js

......\.........\FHTocTab.js

......\.........\FHTop.html

......\.........\FHUtilities.js

......\.........\Fish.html

......\.........\FishersLinearDiscriminantFunction.html

......\.........\GraphicsForClassification.html

......\.........\Hemophilia.html

......\.........\Hemophilia1.html

......\.........\Hirsutes.html

......\.........\Hotelling.html

......\.........\Images











......\.........\......\BayesRule3.bmp

......\.........\......\BayesRule3.jpg

......\.........\......\beuta.jpg

......\.........\......\BinaryMat.bmp

......\.........\......\BinaryMat1.bmp

......\.........\......\BinaryMat1.jpg

......\.........\......\BinaryMat2.bmp

......\.........\......\BinaryMat2.jpg

......\.........\......\BrowseBlueLeft.png

......\.........\......\BrowseBlueRight.png

......\.........\......\Caiman-1.jpg

......\.........\......\Caiman.bmp

......\.........\......\Caiman.jpg

......\.........\......\CentroidProfiles.bmp

......\.........\......\CentroidProfiles.jpg

......\.........\......\ClassDisc.bmp

......\.........\......\ClassDisc.jpg

......\.........\......\ClassModel.bmp

......\.........\......\ClassModel.jpg

......\.........\......\ClassProbability.bmp

......\.........\......\ClassProbability.jpg

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