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I would read it! I work with a specific kind of high(er) dimensional medical imaging data, and I think unsupervised learning could be used for classification an
by aganders3 12y ago
I would read it! I work with a specific kind of high(er) dimensional medical imaging data, and I think unsupervised learning could be used for classification and foreground separation. K-means is giving me some promising preliminary results, but I'd like to assign samples continuous probabilities rather than binary classifications. I'm relatively new to ML but trying to incorporate it into my research, so I apologize if any of that doesn't make sense!
- electrograv 12y agoK-means clustering has been successfully used to extract features in a "deep learning" style architecture (with good results at image recognition). You'll probably find this useful: http://web.stanford.edu/~acoates/papers/coatesng_nntot2012.pdf http://web.stanford.edu/~acoates/papers/coatesng_nntot2012.p...