文件名称:COM_classify
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 195kb
- 下载次数：
- 0次
- 提 供 者：
- 吕**
- 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！
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介绍说明－－下载内容均来自于网络，请自行研究使用
内涵多种分类算法，K-means, fuzzyCMeans, clustertree...
解压缩后， 用matlab 的 set path 添加目录，在matlab中输入compact, 就可使用-The connotation of a variety of classification algorithms, K-means, fuzzyCMeans, clustertree ... decompress after matlab with the ' set path' add directory, matlab, type in the compact, can be used
解压缩后， 用matlab 的 set path 添加目录，在matlab中输入compact, 就可使用-The connotation of a variety of classification algorithms, K-means, fuzzyCMeans, clustertree ... decompress after matlab with the ' set path' add directory, matlab, type in the compact, can be used
(系统自动生成,下载前可以参看下载内容)
下载文件列表
COMPACT
.......\calcJaccard.m
.......\calculateJaccardByReference.m
.......\clr.m
.......\clusterResultsDlg.fig
.......\clusterResultsDlg.m
.......\clustersTextualResults.fig
.......\clustersTextualResults.m
.......\clustersTool.fig
.......\clustersTool.m
.......\clustersTool2.fig
.......\clustersTool2.m
.......\clustersTool3.fig
.......\clustersTool3.m
.......\clustersToolMethods.fig
.......\clustersToolMethods.m
.......\clustersToolMethodsNoBIC.fig
.......\clustersToolMethodsNoBIC.m
.......\clustersToolResults.fig
.......\clustersToolResults.m
.......\cnnClustering.m
.......\compact.m
.......\compareMethodsTool.m
.......\establishPairsMatrix.m
.......\estimateNumberOfSignificantDims.m
.......\fileBrowser.fig
.......\fileBrowser.m
.......\fillDataInput.m
.......\findMinima.m
.......\findNumClust.m
.......\fineCluster.m
.......\fuzzyCMeansDlg.fig
.......\fuzzyCMeansDlg.m
.......\graddesc.m
.......\graddesc.tryascent.m
.......\groupAfterGradientDescent.m
.......\guiClusters.fig
.......\guiClusters.m
.......\guiSimulatePE.fig
.......\guiSimulatePE.m
.......\guiTruncateInput.m
.......\guiTruncateInputWithSelectedDims.m
.......\lb.fig
.......\lb.m
.......\lmax.m
.......\lmax_pw.m
.......\lmin.m
.......\lmin_pw.m
.......\matrixShapeDlg.fig
.......\matrixShapeDlg.m
.......\myClustMeasure.m
.......\myShowQc.m
.......\numOfClassesDlg.fig
.......\numOfClassesDlg.m
.......\parallelCoordsFig.fig
.......\parallelCoordsFig.m
.......\paramsForCNNDlg.fig
.......\paramsForCNNDlg.m
.......\paramsForQCDlg.fig
.......\paramsForQCDlg.m
.......\paramsForSensitiveQCDlg.fig
.......\paramsForSensitiveQCDlg.m
.......\paramsForSVCDlg.fig
.......\paramsForSVCDlg.m
.......\pathdef.m
.......\plotClassification.m
.......\plotClassificationInParallelCoordinates.m
.......\plotClusters.m
.......\plotClustersInColors.m
.......\plotPEJ.m
.......\plotRecTree.m
.......\plotTruncateData.m
.......\pureQC.m
.......\qc.m
.......\qcClustering.m
.......\qcClustering.tryascent.m
.......\qui.m
.......\readInputFile.m
.......\recCompact.m
.......\referenceClustering.m
.......\relabelClassificationFromReference.m
.......\reorderData.m
.......\script.m
.......\secondOrderClustering.m
.......\secondOrderClusteringDlg.fig
.......\secondOrderClusteringDlg.m
.......\select3DimsFig.fig
.......\select3DimsFig.m
.......\show_qc.m
.......\silentCompareMethodsTool.m
.......\test1.fig
.......\test1.m
.......\treeplot.m
.......\truncateInput.m
.......\calcJaccard.m
.......\calculateJaccardByReference.m
.......\clr.m
.......\clusterResultsDlg.fig
.......\clusterResultsDlg.m
.......\clustersTextualResults.fig
.......\clustersTextualResults.m
.......\clustersTool.fig
.......\clustersTool.m
.......\clustersTool2.fig
.......\clustersTool2.m
.......\clustersTool3.fig
.......\clustersTool3.m
.......\clustersToolMethods.fig
.......\clustersToolMethods.m
.......\clustersToolMethodsNoBIC.fig
.......\clustersToolMethodsNoBIC.m
.......\clustersToolResults.fig
.......\clustersToolResults.m
.......\cnnClustering.m
.......\compact.m
.......\compareMethodsTool.m
.......\establishPairsMatrix.m
.......\estimateNumberOfSignificantDims.m
.......\fileBrowser.fig
.......\fileBrowser.m
.......\fillDataInput.m
.......\findMinima.m
.......\findNumClust.m
.......\fineCluster.m
.......\fuzzyCMeansDlg.fig
.......\fuzzyCMeansDlg.m
.......\graddesc.m
.......\graddesc.tryascent.m
.......\groupAfterGradientDescent.m
.......\guiClusters.fig
.......\guiClusters.m
.......\guiSimulatePE.fig
.......\guiSimulatePE.m
.......\guiTruncateInput.m
.......\guiTruncateInputWithSelectedDims.m
.......\lb.fig
.......\lb.m
.......\lmax.m
.......\lmax_pw.m
.......\lmin.m
.......\lmin_pw.m
.......\matrixShapeDlg.fig
.......\matrixShapeDlg.m
.......\myClustMeasure.m
.......\myShowQc.m
.......\numOfClassesDlg.fig
.......\numOfClassesDlg.m
.......\parallelCoordsFig.fig
.......\parallelCoordsFig.m
.......\paramsForCNNDlg.fig
.......\paramsForCNNDlg.m
.......\paramsForQCDlg.fig
.......\paramsForQCDlg.m
.......\paramsForSensitiveQCDlg.fig
.......\paramsForSensitiveQCDlg.m
.......\paramsForSVCDlg.fig
.......\paramsForSVCDlg.m
.......\pathdef.m
.......\plotClassification.m
.......\plotClassificationInParallelCoordinates.m
.......\plotClusters.m
.......\plotClustersInColors.m
.......\plotPEJ.m
.......\plotRecTree.m
.......\plotTruncateData.m
.......\pureQC.m
.......\qc.m
.......\qcClustering.m
.......\qcClustering.tryascent.m
.......\qui.m
.......\readInputFile.m
.......\recCompact.m
.......\referenceClustering.m
.......\relabelClassificationFromReference.m
.......\reorderData.m
.......\script.m
.......\secondOrderClustering.m
.......\secondOrderClusteringDlg.fig
.......\secondOrderClusteringDlg.m
.......\select3DimsFig.fig
.......\select3DimsFig.m
.......\show_qc.m
.......\silentCompareMethodsTool.m
.......\test1.fig
.......\test1.m
.......\treeplot.m
.......\truncateInput.m