k-means clustering

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.

Respuestas (2)

Laurens Bakker
Laurens Bakker el 27 de Feb. de 2012

0 votos

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
Kawther el 30 de Nov. de 2014

0 votos

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 comentario

Kawther
Kawther el 30 de Nov. de 2014
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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el 5 de Feb. de 2011

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el 30 de Nov. de 2014

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