On 09/08/2013 06:51 PM, Olivier Grisel wrote: > > I just had a look at the results section and it looks very > interesting, in particular in its ability to bring noise robustness to > single linkage. Have you tried to compare it with ward? Yeah. I think the "experiments.py" had ward in it: https://github.com/amueller/information-theoretic-mst/blob/master/experiments.py It faired quite nicely. If the intrinsic dimensionality is far from n_features, it is better to use an estimate of the intrinsic dimensionality.
Hum it seems I forgot to check in a file from my work box. The current master doesn't seem to run :( I'll fix that tomorrow, then you can run it or I can post the results. It was usually better than ward, sometimes a bit slower, though. ------------------------------------------------------------------------------ Learn the latest--Visual Studio 2012, SharePoint 2013, SQL 2012, more! Discover the easy way to master current and previous Microsoft technologies and advance your career. Get an incredible 1,500+ hours of step-by-step tutorial videos with LearnDevNow. Subscribe today and save! http://pubads.g.doubleclick.net/gampad/clk?id=58041391&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
