文件名称:SVMwineclassification
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选择１７８个样板的５０％作为训练集，另外的作为测试集，用训练集对ＳＶＭ进行训练得到分类模型，再用得到的分类模型对测试集进行类别标签预测。-Select 178 model 50 as the training set, the other as the test set, the SVM training classification model with the training set, and then the classification model by category labels to predict the test set.
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下载文件列表
SVMwineclassification/
SVMwineclassification/chapter12.m
SVMwineclassification/chapter12_wine.mat
SVMwineclassification/相关图形/
SVMwineclassification/相关图形/chapter12.html
SVMwineclassification/相关图形/chapter12.png
SVMwineclassification/相关图形/chapter12_01.png
SVMwineclassification/相关图形/chapter12_02.png
SVMwineclassification/相关图形/chapter12_03.png
SVMwineclassification/chapter12.m
SVMwineclassification/chapter12_wine.mat
SVMwineclassification/相关图形/
SVMwineclassification/相关图形/chapter12.html
SVMwineclassification/相关图形/chapter12.png
SVMwineclassification/相关图形/chapter12_01.png
SVMwineclassification/相关图形/chapter12_02.png
SVMwineclassification/相关图形/chapter12_03.png
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