@MIT : Maybe this example<http://scipy-lectures.github.io/packages/scikit-learn/index.html#k-means-clustering>is what you were talking about? @Josh : I am a bit ignorant of the use-cases of Image Compression apart from the obvious ones(Saving memory by exploiting human's psycho-visual limitations like JPEG standard). Can you explain in brief how and where they can be used as mentioned in your previous post? Regards, Ankit Agrawal, Communication and Signal Processing, IIT Bombay. On Sun, Feb 2, 2014 at 9:00 PM, Stéfan van der Walt <stefan@sun.ac.za>wrote:

On Sun, 02 Feb 2014 16:35:27 +0530, MIT SHAH wrote:

...

I am interested in compressing an image by "K-Means Algorithm", which compresses an image into number of colors told by us ( for e.g. 16 colors ). It is a machine learning algorithm, which works based on the concept of clustering. Is it available already (in freeimage, PIL) ??

I think this is pretty well covered by scikit-learn--check it out!

http://scikit-learn.org

Cheers Stéfan

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