文件名称:SVM
介绍说明－－下载内容均来自于网络，请自行研究使用
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
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SVM.m