Feature Selection Library

Typos

Updated demo file: Demo_InfFS.m
% To run this code you need to complete it.
% This file is not ready to run. you can use part of it.
% You need to add your dataset and install LIBLINEAR SVM classifier

From Brais Cancela comments some updates have been done on ILFS method.
IMPORTANT NOTE:
The implementation of PLSA + EM algorithm was based on the code at:
https://github.com/lizhangzhan/plsa
https://github.com/lizhangzhan/plsa/blob/master/plsa.m

+ Add method: infFS_fast

+ New Methods:
[1] ILFS
[2] InfFS
[3] ECFS
[4] mrmr
[5] relieff
[6] mutinffs
[7] fsv
[8] laplacian
[9] mcfs
[10] rfe
[11] L0
[12] fisher
[13] UDFS
[14] llcfs
[15] cfs
[16] fsasl
[17] dgufs
[18] ufsol
[19] lasso

+ Added new Demo file: how to select the best parameters for the Inf-FS and ILFS.
+ How to obtain the best results with the Inf-FS approach.

+ File separator for current platform included.