On Sun, Mar 25, 2012 at 10:12:59PM +0200, Andreas wrote: > For the input, I would hope we can implement Olivier's proposal soon > so that we don't need to differentiate the different input types.
Agreed. It was literly itching me when I was playing with the example. > I'm not sure if "flat geometry" is a good way to describe the case that > KMeans works in. I would have said "convex clusters". Not sure in how far > that applies to hierarchical clustering, though. Euclidean distance. > Adding to what Olivier said, I would not call KMeans and Spectral > clustering "scaling well". I think stuff scales well if I can run > MNIST on my laptop ;) For K-means, using the mini-batch version, you can. I agree with the remark on spectral clustering. > By the way, do you know why mean-shift performs so poorly on the > first two examples? Is it because the bandwidth is not set "correctly"? Yes, probably. > Also, I would mention explicitly that often clustering algorithms are > evaluated using ARI or AMI using classification data, since there > is not really any other data available, and why this is bad ;) Can you contribute a sentence for this, I don't feel confortable enough. > I am just working on a clustering algorithm and it is really hard to > say what it means for a clustering algorithm to fail. Yes, indeed :$ > Oh and one more thing: For spectral clustering, I think we implement > the Shi/Malik version, not the Jordan/Ng version. Though adding > this as an option would probably be quite easy. This should probably > also be made explicit in the docs. I never heard of the latter (excuse my ignorance). But I am curious. > Btw is there an easy way to do a diff to master of this file without > checking it out? $ git fetch gael $ git diff gael/master Had I done a separate branch, it would have been easier. Sorry. Gael ------------------------------------------------------------------------------ This SF email is sponsosred by: Try Windows Azure free for 90 days Click Here http://p.sf.net/sfu/sfd2d-msazure _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
