In the past I read on efficient similarity computation. At the time I stumbled upon the work by this group which published quite some papers on the topic. They also provide implementations
http://www.cse.unsw.edu.au/~weiw/project/simjoin.html http://www.cse.unsw.edu.au/~weiw/project/ssjoin/readme.html It may be useful -- Flavio On Fri, Oct 26, 2012 at 10:29 AM, Olivier Grisel <olivier.gri...@ensta.org> wrote: > 2012/10/26 Olivier Grisel <olivier.gri...@ensta.org>: >> when working on >> my power iteration clustering pool request some time ago but never >> found the time to do it. > > => pull request, sorry... > > -- > Olivier > http://twitter.com/ogrisel - http://github.com/ogrisel > > ------------------------------------------------------------------------------ > Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics > Download AppDynamics Lite for free today: > http://p.sf.net/sfu/appdyn_sfd2d_oct > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. Make your web apps faster with AppDynamics Download AppDynamics Lite for free today: http://p.sf.net/sfu/appdyn_sfd2d_oct _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
