Hi, yes, this is what I was trying to point out. One vs all is how we usually call that :-)
best, Danny -- http://www.klickbrett.de "Kim Falk Jørgensen" <[email protected]> hat am 18. März 2013 um 15:33 geschrieben: > Hi, > > You could use the "one vs all" classification, where you basically > serialize the classifications asking for each category if its inside the > category or in some other. then you can use all the binary classifiers like > naive Bayes (http://en.wikipedia.org/wiki/Multiclass_classification). I am > not sure if that is what Danny Busch is also referring to. > > Cheers > Kim > > > > On Mon, Mar 18, 2013 at 2:56 PM, Danny Busch <[email protected]> wrote: > > > Hi, > > typically, multi category classification can also be achieved by training > > multiple binary classificators. You loop through each of them and for each > > hitting classificator, you add a category. > > > > best > > Danny > > > > http://www.klickbrett.de > > > > > > VIGNESH S <[email protected]> hat am 18. März 2013 um 14:43 > > geschrieben: > > > Hi, > > > > > > What are the best algorithms suitable for multi category > > > classification not binary classifcation. > > > > > > As Far as my understanding,Bayesian,SVD not suitable for multi > > > category classification.. > > > > > > Please kindly help.. > > > > > > -- > > > Thanks and Regards > > > Vignesh Srinivasan > > > > > > -- > Best Regards > > Kim Falk Jorgensen
