文件名称:patternRecognition
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出,可右键点击选“另存为”。
失败请重下,重下不扣分。
如迅雷强制弹出,可右键点击选“另存为”。
失败请重下,重下不扣分。
介绍说明--下载内容均来自于网络,请自行研究使用
this folder contain implemetation of three classifier in matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
pattern recognition\data set\dataset.txt
...................\........\testData.txt
...................\........\trainingSet.txt
...................\kmeans\classification.m
...................\......\classificationByKmeans.m
...................\......\clustering.m
...................\......\data\dataset.txt
...................\......\....\testData.txt
...................\......\....\train1.txt
...................\......\....\train2.txt
...................\......\....\train4.txt
...................\......\....\trainingSet.txt
...................\......\dcKMeans.m
...................\......\EuclidianDis.m
...................\......\performance.m
...................\......\readData.m
...................\.Nearest Neghibor\classificationByKNN.m
...................\.................\dataset.txt
...................\.................\EuclidianDis.m
...................\.................\knn.m
...................\.................\performance.m
...................\.................\readData.m
...................\parzen window\classificationByParzen.m
...................\.............\dataSeperating.m
...................\.............\parzenWindow.m
...................\.............\performance.m
...................\.............\readData.m
...................\.............\testData.txt
...................\.............\trainingSet.txt
...................\trainingSet.txt
...................\kmeans\data
...................\data set
...................\kmeans
...................\kNearest Neghibor
...................\parzen window
pattern recognition
...................\........\testData.txt
...................\........\trainingSet.txt
...................\kmeans\classification.m
...................\......\classificationByKmeans.m
...................\......\clustering.m
...................\......\data\dataset.txt
...................\......\....\testData.txt
...................\......\....\train1.txt
...................\......\....\train2.txt
...................\......\....\train4.txt
...................\......\....\trainingSet.txt
...................\......\dcKMeans.m
...................\......\EuclidianDis.m
...................\......\performance.m
...................\......\readData.m
...................\.Nearest Neghibor\classificationByKNN.m
...................\.................\dataset.txt
...................\.................\EuclidianDis.m
...................\.................\knn.m
...................\.................\performance.m
...................\.................\readData.m
...................\parzen window\classificationByParzen.m
...................\.............\dataSeperating.m
...................\.............\parzenWindow.m
...................\.............\performance.m
...................\.............\readData.m
...................\.............\testData.txt
...................\.............\trainingSet.txt
...................\trainingSet.txt
...................\kmeans\data
...................\data set
...................\kmeans
...................\kNearest Neghibor
...................\parzen window
pattern recognition