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
