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mlclass-ex6

于 2016-03-14 发布 文件大小:570KB
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下载积分: 1 下载次数: 17

代码说明:

  支持向量机,实现2或多分类,基于matlab仿真,内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

文件列表:

mlclass-ex6
...........\dataset3Params.m,1721,2015-05-29
...........\emailFeatures.m,2346,2015-05-29
...........\emailSample1.txt,393,2015-05-29
...........\emailSample2.txt,1301,2015-05-29
...........\ex6.m,4140,2015-05-29
...........\ex6data1.mat,981,2015-05-29
...........\ex6data2.mat,7604,2015-05-29
...........\ex6data3.mat,6038,2015-05-29
...........\ex6_spam.m,4755,2015-05-29
...........\gaussianKernel.m,846,2015-05-29
...........\getVocabList.m,761,2015-05-29
...........\linearKernel.m,323,2015-05-29
...........\ml_login_data.mat,265,2015-05-29
...........\plotData.m,569,2015-05-29
...........\porterStemmer.m,9902,2015-05-29
...........\processEmail.m,4352,2015-05-29
...........\readFile.m,396,2015-05-29
...........\spamSample1.txt,655,2015-05-29
...........\spamSample2.txt,245,2015-05-29
...........\spamTest.mat,112717,2015-05-29
...........\spamTrain.mat,428814,2015-05-29
...........\submit.m,16836,2015-05-29
...........\submitWeb.m,807,2015-05-29
...........\svmPredict.m,1669,2015-05-29
...........\svmTrain.m,5964,2015-05-29
...........\visualizeBoundary.m,734,2015-05-29
...........\visualizeBoundaryLinear.m,410,2015-05-29
...........\vocab.txt,20240,2015-05-29

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