Improved Distance Evaluation (IDE) by Behrad Bagheri

This method could be implemented for feature selection in classification problems. (feature selection, signal processing, classification)

[scores indices selected duration]=IDE2(data,classes,thresh...

Geometric Gaussian-Kernel Bolstered Error Estimation for Linear Classification by Arsen Arakelyan

This is fast implementation of bolstered error estimation algorithm for linear SVM classification. (linear classification, feature selection, bolstered error estim...)

svm(P,T,flag)

svmcoefs(svm_struct)

bolster.m

colAUC by Jaroslaw Tuszynski

Calculates Area under ROC curve (AUC) for a vector or for each column of a matrix. (roc, auc, statistics)

Tutorial for colAUC Function and Package

avrRank(x)

colAUC.m

Feature selector based on genetic algorithms and information theory. by Oswaldo Ludwig

The algorithm performs the combinatorial optimization by using Genetic Algorithms. (information theory, genetic algorithms, mutual information)

H=entropia2(X,resolucao)

[Hx,Hy,MIxy,MIxx]=statistics(X,y)

[Selected]=GA_feature_selector(feat_numb,X,y)

Feature Analysis by Iftekhar Tanveer

This program analyzes an arff file (weka) (feature selection, arff, lda)

LDA.m

FeatureAnalysis.m

Differential Evolution Based Channel and Feature Selection by Dr. Rami Khushaba

http://dx.doi.org/10.1016/j.eswa.2011.03.028 (differential evolutio..., feature selection)

DEFS(data_tr,data_ts,DNF,PSIZE,Ld,classif,GEN)

DEFS_chs(data_tr,data_ts,DNC,PSIZE,Ld,classif,GEN,NFPC)

Feature selection using fuzzy entropy measures and similarity by Pasi Luukka

Removes a feature from data file which it considers havining least amount of relevant information. (data exploration, measurement, biotech)

[data_mod, index_rem]=feat_sel_sim(data, measure, p)

Fitting with MATLAB: Statistics, Optimization, and Curve Fitting by Richard Willey

Demo code and data for the "Fitting with MATLAB" webinar (outlier detection, censored data, deming regression)

evalTumorWeight(t , p)

objFcn(p , tObs, drug)

CensoredData.m

Information loss of the Mahalanobis distance in high dimensions: Matlab implementation by Dimitrios Ververidis

Information loss estimation to set a lower limit on classification rate. (pattern recognition, gaussian methods, feature selection)

CalcInfoLoss(D, N, Crossval_OR_Resub)

Chi2CdfCustom(x, d)

FactorGamma(A,B,C)

Neuro-fuzzy classifier by Bayram

there are three classifiers and one feature selection method based on neuro-fuzy. (feature selection, modeling, system identification)

[fismat,feature,outputs,recog_tr,recog_te,labels,performanc...

[fismat,outputs,recog_tr,recog_te,labels,performance]=scg_n...

[fismat,outputs,recog_tr,recog_te,labels,performance]=scg_n...

Feature Selection Based on Interaction Information by Stefan Schroedl

Self-contained package for feature selection based on mutual information/interaction information. (shannon information, entropy, mutual information)

demo_feature_select

cond_entropy(prob, dims)

dimensionalize(vars, vals, which_stats)

Mass Spectrometry Bayesian Network Analysis Tool by Karl Kuschner

Finds diagnostic features in the spectra of biologic samples by using a Bayesian Network approach (mutual information, bayesian network, biomarker discovery)

[IntOut IDOut PredClass Class2Vars Var2Vars MetaVars TrialE...

minimum-redundancy maximum-relevance feature selection by Hanchuan Peng

The source codes of minimum redundancy feature selection (feature selection, mutual information, minimumredundancy)

mrmr_mid_d(d, f, K)

mrmr_miq_d(d, f, K)

mRMR Feature Selection (using mutual information computation) by Hanchuan Peng

This is a cross-platform version of mimimum-redundancy maximum-relevancy feature selection (feature selection, minimum redundancy, biotech)