文件名称:SVM
- 所属分类:
- 其他小程序
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2017-05-23
- 文件大小:
- 893kb
- 下载次数:
- 0次
- 提 供 者:
- baizho******
- 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!
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
通过支持向量机进行分类,实现了有监督的分类计算。-Through the support vector machine (SVM) classification, supervised classification calculation is realized.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
machine-learning-ex6 Support Vector Machines\machine-learning-ex6\ex6\dataset3Params.m
............................................\....................\...\emailFeatures.m
............................................\....................\...\emailSample1.txt
............................................\....................\...\emailSample2.txt
............................................\....................\...\ex6.m
............................................\....................\...\ex6data1.mat
............................................\....................\...\ex6data2.mat
............................................\....................\...\ex6data3.mat
............................................\....................\...\ex6_spam.m
............................................\....................\...\gaussianKernel.m
............................................\....................\...\getVocabList.m
............................................\....................\...\lib\jsonlab\AUTHORS.txt
............................................\....................\...\...\.......\ChangeLog.txt
............................................\....................\...\...\.......\jsonopt.m
............................................\....................\...\...\.......\LICENSE_BSD.txt
............................................\....................\...\...\.......\loadjson.m
............................................\....................\...\...\.......\loadubjson.m
............................................\....................\...\...\.......\mergestruct.m
............................................\....................\...\...\.......\README.txt
............................................\....................\...\...\.......\savejson.m
............................................\....................\...\...\.......\saveubjson.m
............................................\....................\...\...\.......\varargin2struct.m
............................................\....................\...\...\makeValidFieldName.m
............................................\....................\...\...\submitWithConfiguration.m
............................................\....................\...\linearKernel.m
............................................\....................\...\plotData.m
............................................\....................\...\porterStemmer.m
............................................\....................\...\processEmail.m
............................................\....................\...\readFile.m
............................................\....................\...\spamSample1.txt
............................................\....................\...\spamSample2.txt
............................................\....................\...\spamTest.mat
............................................\....................\...\spamTrain.mat
............................................\....................\...\submit.m
............................................\....................\...\svmPredict.m
............................................\....................\...\svmTrain.m
............................................\....................\...\visualizeBoundary.m
............................................\....................\...\visualizeBoundaryLinear.m
............................................\....................\...\vocab.txt
............................................\....................\ex6.pdf
............................................\....................\...\lib\jsonlab
............................................\....................\...\lib
............................................\....................\ex6
............................................\machine-learning-ex6
machine-learning-ex6 Support Vector Machines