Thank you for the comment.. I just concern It should be same answer for 'feat' at Approximate coefficient.. From the example you given, YES the answer are same.. when I go through the code (getmswtfeat.m) It is look like different in how to determine the last answer.. for code (getmswpfeatV00.m).. I can understand the flow.. but for the 'getmswtfeat.m', I'm confused for term 'percentENER(notZER,:) = ...', '[cfs,longs] = wdec2cl(dec,'all')',.. and I hope the final answer for 'tab_ENER' should be same as WP code... sorry to many question...
Hi. In this package, I did not include different features selection techniques. I will submit another package in the next month that includes about 4-5 feature selection methods. Meanwhile, some of them are already available in MatlabFileExchange (not by me! )
27 Feb 2013
This toolbox provides some combination methods to fuse an ensemble of classifiers
if you type: wilcoxon it will works showing the example.
in the other cases you have to write:
x1=[n1 n2 n3 n4 n5...ni];
x2=[m1 m2 m3 m4 m5...mi];
where n1...ni are the values of the first vector and m2...mi are the values of the second vector.