Hi Philipp, you could try a nearest neighbors approach and use KL-divergence as your "distance metric"**
best, Peter ** KL-divergence is not a proper metric but it might work 2012/5/14 <[email protected]>: > I would try using a chi squared Kernel. You can Start by using the > approximation provided in sklearn. > Cheers, andy > -- > Diese Nachricht wurde von meinem Android-Mobiltelefon mit K-9 Mail gesendet. > > > > Philipp Singer <[email protected]> schrieb: >> >> Hey there! >> >> I am currently trying to classify a dataset which has the following >> format: >> >> Class1 0.3 0.5 0.2 >> Class2 0.9 0.1 0.0 >> ... >> >> So the features are probabilities that sum always up at exactly 1. >> >> I have tried several linear classifiers but I am now wondering if there >> is maybe some better way to classify such data and achieve better results. >> >> Maybe someone has some ideas. >> >> Thanks and regards, >> Philipp >> >> ________________________________ >> >> Live Security Virtual Conference >> Exclusive live event will cover all the ways today's security and >> threat landscape has changed and how IT managers can respond. Discussions >> will include endpoint security, mobile security and the latest in malware >> threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ >> ________________________________ >> >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ------------------------------------------------------------------------------ > Live Security Virtual Conference > Exclusive live event will cover all the ways today's security and > threat landscape has changed and how IT managers can respond. Discussions > will include endpoint security, mobile security and the latest in malware > threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > -- Peter Prettenhofer ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
