I understand Fisher score is a feature selection methods. Are there other methods similar to Fisher score for mostly numeric variables and 2 class problems.
Hi,
you can try:
minimisation of both classification error probability (POE) and average correlation coefficients (ACC) between
(M. Dash and H. Liu, Feature selection for Classification (1997) Elsevier Science Inc)
Mutual information measure
(G. D. Tourassi, E. D. Frederick, M. K. Markey and C. E. Floyd, Jr. (2001) Application of the mutual information criterion for feature selection in computer-aided diagnosis, Medical Physics, 28, 12, 2394-2402.)
Hi,
First you need more information about Feature selection. I suggest you to read this paper:
http://www.sciencedirect.com/science/article/pii/S0045790613003066
then you can study these papers to solve your problem:
http://repository.ias.ac.in/26053/
http://link.springer.com/article/10.1023/A:1010933404324
http://www.hindawi.com/journals/jam/2013/754698/abs/
http://link.springer.com/chapter/10.1007/978-3-642-35326-0_2
good luck.
Dear,
Try to check ReliefF, where it is considered stable with GLABRA,
TOX, and PRO-CAN..
can refer to:
http://nar.oxfordjournals.org/content/early/2012/01/18/nar.gkr1265.full.html
Feature Selection Library (FSLib 2018) is a widely applicable MATLAB library for feature selection.
Link: https://uk.mathworks.com/matlabcentral/fileexchange/56937-feature-selection-library
In the toolbox you can find 19 recent methods (some 2015-2017-2018):
[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
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