文件名称:SVM
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This code just simply run the SVM on the example data set heart_scale ,
which is scaled properly. The code divides the data into 2 parts
train: 1 to 200
test: 201:270
Then plot the results vs their true class. In order to visualize the high
dimensional data, we apply MDS to the 13D data and reduce the dimension
to 2D
- This code just simply run the SVM on the example data set heart_scale ,
which is scaled properly. The code divides the data into 2 parts
train: 1 to 200
test: 201:270
Then plot the results vs their true class. In order to visualize the high
dimensional data, we apply MDS to the 13D data and reduce the dimension
to 2D
which is scaled properly. The code divides the data into 2 parts
train: 1 to 200
test: 201:270
Then plot the results vs their true class. In order to visualize the high
dimensional data, we apply MDS to the 13D data and reduce the dimension
to 2D
- This code just simply run the SVM on the example data set heart_scale ,
which is scaled properly. The code divides the data into 2 parts
train: 1 to 200
test: 201:270
Then plot the results vs their true class. In order to visualize the high
dimensional data, we apply MDS to the 13D data and reduce the dimension
to 2D
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SVM.m
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