How to perform classification
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When it comes to Classification of 4 different sets images,what methods should be applied? I mean after calculating all the features of the four sets images and storing them into a database....How to differentiate them using classification?(I have the target data (feature vector) already calculated).Plz guide me.
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the cyclist
2015 年 4 月 26 日
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Image Analyst
2015 年 4 月 26 日
The example on the page dealt with 3 classes. Generally classification routines give you a class number like 0,1,2,3,4,... or 1,2,3,4,5... When classifying images, you'll get an image out where the value of the pixel is the value of the class it assigned. For some methods, like kmeans() you need to create the image yourself. For you, is one whole image one class (like you have photos of either sky or grass)? Or can it have multiple classes in the image (like your images have both sky and grass in each image)?
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