k-means clustering
古いコメントを表示
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 件)
Laurens Bakker
2012 年 2 月 27 日
0 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 年 11 月 30 日
0 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 件のコメント
Kawther
2014 年 11 月 30 日
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?
カテゴリ
ヘルプ センター および File Exchange で k-Means and k-Medoids Clustering についてさらに検索
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!