This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn. The good classification performance can be obtained for a certain class of data distributions. Other classifiers must be used in the cases where the PPNN classifiers cannot get good performances.
Hello , shall I ask you if this code could be used for a multiple input multiple output NN ?
Nice, good classifier!!!
I could not run the demo.m, there is something wrong, I do not know why. Would you guys help me. Thanks
Yes !!! a really good classifier
I would like to know what is the difference between the newpnn function in matlab to the function written by you
I went quite fast with you!
How long are you a pos-doc at Uni-Milan?
I took a look at your code. It is nice, I'm thinking about a porting of the main Algorithm to the clustering of human neural fibers pathways. I'll keep you informed.
Just a tip: If I were you I would cange the name of demo.m with something like parzenDemo.m