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文件名称:PR

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    2014-05-05
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    11.81mb
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各种模式识别算法源码,包括c均值聚类,层次聚类,fisher判决器,贝叶斯判决,神经网络等算法-Pattern recognition algorithm source code, including c-means clustering, hierarchical clustering, fisher judgment, a judgment Bayesian neural network algorithm
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下载文件列表

PR/
PR/Ch2/
PR/Ch2/AffinityPropagation_Fun.m
PR/Ch2/AP_Clustering_Fun.m
PR/Ch2/AP_Clustering_Test.m
PR/Ch2/AP_Fun.m
PR/Ch2/AP_TestDataSet_20.mat
PR/Ch2/AP_TestDataSet_40.mat
PR/Ch2/AP_TestDataSet_50.mat
PR/Ch2/CarLicenseTag2_Gray.bmp
PR/Ch2/CarLicense_5.bmp
PR/Ch2/CarLicense_7.bmp
PR/Ch2/CarLicense_9.bmp
PR/Ch2/CarLicense_A.bmp
PR/Ch2/CarLicense_AE9597.bmp
PR/Ch2/CarLicense_B38835.bmp
PR/Ch2/CarLicense_B38835_C.bmp
PR/Ch2/CarLicense_E.bmp
PR/Ch2/CarLicense_Little.bmp
PR/Ch2/CharSegment.m
PR/Ch2/CharSegmentByATcMeans.m
PR/Ch2/ClusteringJudgeFun.m
PR/Ch2/ClusteringMain.m
PR/Ch2/cMeansFun.m
PR/Ch2/C_MeansBasic.m
PR/Ch2/C_MeansBasicFun.m
PR/Ch2/C_MeansClustering.m
PR/Ch2/Disp2DNPdf.m
PR/Ch2/DispMoment3Feature.m
PR/Ch2/DissimilarityMeasure.m
PR/Ch2/EqualClustering_Fun.m
PR/Ch2/ex2_5.m
PR/Ch2/FarthestPointClusteringFun.m
PR/Ch2/HierarchicalCluster.m
PR/Ch2/HierarchicalClusteringFun.m
PR/Ch2/hs_err_pid3436.log
PR/Ch2/html/
PR/Ch2/html/ImageRegionClustering.ppt
PR/Ch2/html/Thumbs.db
PR/Ch2/ImageClustering.m
PR/Ch2/ImageHistogram.m
PR/Ch2/ImagePixelClusteringByCmeans.m
PR/Ch2/ImageRegionClustering.m
PR/Ch2/ImageSegmentation.m
PR/Ch2/ImFarthestCluster_Test.m
PR/Ch2/ImSegment_AP_Clustering.m
PR/Ch2/MarkRegionTargets_Fun.m
PR/Ch2/MaxMinDistanceClustering.m
PR/Ch2/MaxMinDistanceClusteringFun.m
PR/Ch2/MaxMinDistanceClustering_BestClassNum_Fun.asv
PR/Ch2/MaxMinDistanceClustering_BestClassNum_Fun.m
PR/Ch2/Moment3FeatureFun.m
PR/Ch2/NCSet_Orig.mat
PR/Ch2/RangeTagFun.m
PR/Ch2/RegionTagFun.m
PR/Ch2/SetConnectedRegionFun.m
PR/Ch2/SetConnectedTargetFun.m
PR/Ch2/SumErrorSqurJudgeFun.m
PR/Ch2/TanimotoOfStringFun.m
PR/Ch2/Thumbs.db
PR/Ch3/
PR/Ch3/Exe4_9ByHK.m
PR/Ch3/ExeCh3_LMSE.m
PR/Ch3/ExeCh3_LMSE3_4.m
PR/Ch3/ExeCh3_MSE3_3.m
PR/Ch3/ExeCh3_Perceptron.m
PR/Ch3/ExeCh3_PerceptronFor3Class.m
PR/Ch3/ExeCh3_PerceptronForMultiClass.m
PR/Ch3/HK_LinearDFun.m
PR/Ch3/PerceptronFor2Class.m
PR/Ch3/PerceptronForMultiClass.m
PR/Ch3/PotentialFun.m
PR/Ch3/PotentialFunDemo.m
PR/Ch3/PotentialFunLearnFun.m
PR/Ch4/
PR/Ch4/Bayes2DDicesionPlane.m
PR/Ch4/BayesDiscriminatePlane.m
PR/Ch4/Disp2DNormRandomVectors.m
PR/Ch4/DispNormPdf.m
PR/Ch4/Exe4_9.m
PR/Ch4/ExeCh4_LMRD.m
PR/Ch4/ExeCh4_LMRD_Gamble.m
PR/Ch4/ExeCh4_LMRD_Gamble_EqualProp.m
PR/Ch4/ExeCh4_LMRD_Gamble_Real.m
PR/Ch4/ExeCh4_MeanGuss.m
PR/Ch4/GamblingData.xls
PR/Ch4/gauslike.m
PR/Ch4/NormPdfDemo.m
PR/Ch4/NormPdfMulVar.m
PR/Ch4/NormRandomFun.m
PR/Ch4/PhysicalConstitutionData2005934.txt
PR/Ch4/PhysicalConstitutionData2005934_Note.txt
PR/Ch4/Thumbs.db
PR/Ch4/two_axes.m
PR/Ch5/
PR/Ch5/Exe2009_5.m
PR/Ch5/Exe4_9ByKnNNPdfE.m
PR/Ch5/Exe4_9ByMLE.m
PR/Ch5/Exe4_9ByParzen.m
PR/Ch5/ExeCh5_PdfE_KnNeighbors.m
PR/Ch5/ExeCh5_PdfE_Parzen.m
PR/Ch5/ExeCh5_PE_MLE.m
PR/Ch5/KnKKPdfE_ErrDetect500Sample2D.fig
PR/Ch5/KnKKPdfE_ErrDetect500Sample3D.fig
PR/Ch5/KnNNPdfEFun.m
PR/Ch5/KnNNPdfE_ErrPDetecting.m
PR/Ch5/KnNNPdfE_MinErr.m
PR/Ch5/ParzenPdfE_BayesClassfier.m
PR/Ch5/ParzenPdfE_MinErr.m
PR/Ch5/ParzenWinFun.m
PR/Ch5/ParzenWinPdfEDemo.m
PR/Ch5/PdfE.m
PR/Ch5/PhysicalData_PdfE_Parzen.m
PR/Ch5/UD_RecursiveBayesLearning.m
PR/Ch6/
PR/Ch6/CompareEditKnnWithSiftKnn.m
PR/Ch6/DisplayEditKnnSambles.m
PR/Ch6/EditKnn.m
PR/Ch6/EditKnnFun.m
PR/Ch6/EditKnnSiftFun.m
PR/Ch6/EditKnn_1000samples.fig
PR/Ch6/EditKnn_1000samples_KnnEdit_KnnClassify.fig
PR/Ch6/EditSift1NN_1000samples.fig
PR/Ch6/EditSift3NN_1000samples.fig
PR/Ch6/ErrorRateOfEditKnn.m
PR/Ch6/ErrorRateOfKnn.m
PR/Ch6/KnnBySortFun.m
PR/Ch6/KnnErrorRate_500samples.fig
PR/Ch6/KnnFun.m
PR/Ch6/KnNN_ErrPDetectByLeft1GroupCir.m
PR/Ch6/KnNN_ErrPDetecting.m
PR/Ch6/MultEditKnNN_ErrPDetecting.m
PR/Ch6/MultiEditKnnFun.m
PR/Ch6/OneNNFun.m
PR/Ch6/OneNN_Exe_6_3.asv
PR/Ch6/OneNN_Exe_6_3.m
PR/Ch7/
PR/Ch7/ChernoffConvex.m
PR/Ch7/DataSDSampleSetView.m
PR/Ch7/disp1DfunExp.m
PR/Ch7/dispHp.m
PR/Ch7/dispLod2x.m
PR/Ch7/Disp_GMM_in3D_Fun.m
PR/Ch7/DKLT_Exe_7_11.m
PR/Ch7/DKLT_Exm1.m
PR/Ch7/DKLT_PhysicalData.m
PR/Ch7/Eigenvector.m
PR/Ch7/Example7_5_1.m
PR/Ch7/FeatureExtractExe4_9.m
PR/Ch7/FeatureExtractNpdf.m
PR/Ch7/FTbySw1Sw2.m
PR/Ch7/Gauss_Fun.m
PR/Ch7/GMM_Fun.m
PR/Ch7/GNCSet.dat
PR/Ch7/HVPCDataView.m
PR/Ch7/HVPCSet.dat
PR/Ch7/HVPCSet17.dat
PR/Ch7/HVPCSet17norm.dat
PR/Ch7/Knn_PhysicalData.m
PR/Ch7/NCSet.mat
PR/Ch7/OCR/
PR/Ch7/OCR/AE9597_Classified.jpg
PR/Ch7/OCR/AE9597_Noise_Classified.jpg
PR/Ch7/OCR/AE9597_Original.jpg
PR/Ch7/OCR/AE9597_segmentedAndRegionMarked.jpg
PR/Ch7/OCR/A_char.bmp
PR/Ch7/OCR/A_char_normalizedTo16by16.bmp
PR/Ch7/OCR/CarLicenseTag_8357_C.bmp
PR/Ch7/OCR/CarLicense_AAB917_LC.bmp
PR/Ch7/OCR/CarLicense_AE9597.bmp
PR/Ch7/OCR/CarLicense_AE9597_C.bmp
PR/Ch7/OCR/CarLicense_AE9597_LC.bmp
PR/Ch7/OCR/CarLicense_B38835.bmp
PR/Ch7/OCR/CarLicense_B38835_C.bmp
PR/Ch7/OCR/CarP/
PR/Ch7/OCR/CarPOCR.m
PR/Ch7/OCR/CarP/CarAF7146.bmp
PR/Ch7/OCR/CarP/CarLicenseTag.bmp
PR/Ch7/OCR/CarP/CarLicenseTag2_Gray.bmp
PR/Ch7/OCR/CarP/CarLicenseTag_8357.bmp
PR/Ch7/OCR/CarP/CarLicense_Little.bmp
PR/Ch7/OCR/CarP/CarMan.bmp
PR/Ch7/OCR/CarP/CarNight1D4.bmp
PR/Ch7/OCR/CarP/CarNight1D4_1Cut.bmp
PR/Ch7/OCR/CarP/CarNight1D4_1Cut_WB.bmp
PR/Ch7/OCR/CarP/CarNight1D4_3Cut.bmp
PR/Ch7/OCR/CarP/CarPcloudy_AA0746.bmp
PR/Ch7/OCR/CarP/CarPcloudy_AC0372.bmp
PR/

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