文件名称:PR
介绍说明－－下载内容均来自于网络，请自行研究使用
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
PR
..\Ch2
..\...\AffinityPropagation_Fun.m
..\...\AP_Clustering_Fun.m
..\...\AP_Clustering_Test.m
..\...\AP_Fun.m
..\...\AP_TestDataSet_20.mat
..\...\AP_TestDataSet_40.mat
..\...\AP_TestDataSet_50.mat
..\...\CarLicenseTag2_Gray.bmp
..\...\CarLicense_5.bmp
..\...\CarLicense_7.bmp
..\...\CarLicense_9.bmp
..\...\CarLicense_A.bmp
..\...\CarLicense_AE9597.bmp
..\...\CarLicense_B38835.bmp
..\...\CarLicense_B38835_C.bmp
..\...\CarLicense_E.bmp
..\...\CarLicense_Little.bmp
..\...\CharSegment.m
..\...\CharSegmentByATcMeans.m
..\...\ClusteringJudgeFun.m
..\...\ClusteringMain.m
..\...\cMeansFun.m
..\...\C_MeansBasic.m
..\...\C_MeansBasicFun.m
..\...\C_MeansClustering.m
..\...\Disp2DNPdf.m
..\...\DispMoment3Feature.m
..\...\DissimilarityMeasure.m
..\...\EqualClustering_Fun.m
..\...\ex2_5.m
..\...\FarthestPointClusteringFun.m
..\...\HierarchicalCluster.m
..\...\HierarchicalClusteringFun.m
..\...\hs_err_pid3436.log
..\...\html
..\...\....\ImageRegionClustering.ppt
..\...\....\Thumbs.db
..\...\ImageClustering.m
..\...\ImageHistogram.m
..\...\ImagePixelClusteringByCmeans.m
..\...\ImageRegionClustering.m
..\...\ImageSegmentation.m
..\...\ImFarthestCluster_Test.m
..\...\ImSegment_AP_Clustering.m
..\...\MarkRegionTargets_Fun.m
..\...\MaxMinDistanceClustering.m
..\...\MaxMinDistanceClusteringFun.m
..\...\MaxMinDistanceClustering_BestClassNum_Fun.asv
..\...\MaxMinDistanceClustering_BestClassNum_Fun.m
..\...\Moment3FeatureFun.m
..\...\NCSet_Orig.mat
..\...\RangeTagFun.m
..\...\RegionTagFun.m
..\...\SetConnectedRegionFun.m
..\...\SetConnectedTargetFun.m
..\...\SumErrorSqurJudgeFun.m
..\...\TanimotoOfStringFun.m
..\...\Thumbs.db
..\Ch3
..\...\Exe4_9ByHK.m
..\...\ExeCh3_LMSE.m
..\...\ExeCh3_LMSE3_4.m
..\...\ExeCh3_MSE3_3.m
..\...\ExeCh3_Perceptron.m
..\...\ExeCh3_PerceptronFor3Class.m
..\...\ExeCh3_PerceptronForMultiClass.m
..\...\HK_LinearDFun.m
..\...\PerceptronFor2Class.m
..\...\PerceptronForMultiClass.m
..\...\PotentialFun.m
..\...\PotentialFunDemo.m
..\...\PotentialFunLearnFun.m
..\Ch4
..\...\Bayes2DDicesionPlane.m
..\...\BayesDiscriminatePlane.m
..\...\Disp2DNormRandomVectors.m
..\...\DispNormPdf.m
..\...\Exe4_9.m
..\...\ExeCh4_LMRD.m
..\...\ExeCh4_LMRD_Gamble.m
..\...\ExeCh4_LMRD_Gamble_EqualProp.m
..\...\ExeCh4_LMRD_Gamble_Real.m
..\...\ExeCh4_MeanGuss.m
..\...\GamblingData.xls
..\...\gauslike.m
..\...\NormPdfDemo.m
..\...\NormPdfMulVar.m
..\...\NormRandomFun.m
..\...\PhysicalConstitutionData2005934.txt
..\...\PhysicalConstitutionData2005934_Note.txt
..\...\Thumbs.db
..\...\two_axes.m
..\Ch5
..\...\Exe2009_5.m
..\...\Exe4_9ByKnNNPdfE.m
..\...\Exe4_9ByMLE.m
..\...\Exe4_9ByParzen.m
..\...\ExeCh5_PdfE_KnNeighbors.m