k-means clustering
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hi to everyone. i have to apply k-means clustering on texture image let suppose i have a dicom image of a left hand first i had converted into texture by applying range filter , entropy or variance, now i have to apply k-means clustering inorder to seperate the background, bones and soft tissues. please tell me how can i apply clustering.
回答（2 个）
Laurens Bakker
2012-2-27
0 个投票
MATLAB actually has a built-in clustering function called kmeans. Assuming you can reshape your data to match the format expected by kmeans, you're ready to go.
Kawther
2014-11-30
0 个投票
Considering that the clusters represent decision region for each sent symbol, how can i determine the decision region, and how can i find the bet error rate for the clusters resulting from the Kmean?
Thank you Kawther Hamad,
1 个评论
Kawther
2014-11-30
Can i consider the originally sent data as a training data and resend data again and consider it and a test data and use them to find the bet error rate?
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