Description: 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.
To Search:
- [jakes_model] - using Jakes model to simulate rayleigh c
File list (Check if you may need any files):
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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