Hi all,
I'm using jahmm6.1 in NetBeans IDE 6.9.1 for classification. since I'm new in
this area I need some hints to use this useful package. I have a dataset which
is an excel file consisting of 1000 rows that each row has 15 columns(float
values).I should classify these data into two classes.
I wrote a code to read data from excel file and then try to learn
KMeansLearner, but I don't know how should I determine the class of each data
point! However, I know whether each row belings to class1 or 2, I don't know
how should I learn hmm based on it!
Please let me know your useful hints. It's urgent for me.
This is part of code that I wrote.
Vector sequences = new Vector();
for (int i = 0; i < 20; i++) {
for (int j=0; j<15; j++)
vec[j]=myArray[i][j];
ObservationVector obs=new ObservationVector(vec);
sequences.add(obs);
}
KMeansLearner<ObservationVector> kml = new KMeansLearner<ObservationVector>(2,
new OpdfMultiGaussianFactory(1000) , sequences);
hmm = kml.learn();
BaumWelchLearner bwl = new BaumWelchLearner ();
hmm= bwl.learn(hmm, sequences);
for(int i = 0; i < 20; i++) {
hmm = bwl.iterate(hmm, sequences);
}
It gave me an error like this:
Exception in thread "main" java.lang.ClassCastException:
be.ac.ulg.montefiore.run.jahmm.ObservationVector cannot be cast to
java.util.List
at be.ac.ulg.montefiore.run.jahmm.learn.KMeansLearner.flat(KMeansLearner.java:198)
at be.ac.ulg.montefiore.run.jahmm.learn.KMeansLearner.<init>(KMeansLearner.java:48)
thanks a lot.
Original issue reported on code.google.com by zahra.ha...@gmail.com on 20 Dec 2010 at 4:22
Original issue reported on code.google.com by
zahra.ha...@gmail.com
on 20 Dec 2010 at 4:22