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updated 1 month ago

stefano-galelli/MATLAB_IterativeInputSelection by Stefano Galelli

MatLab implementation of the Iterative Input Selection (IIS) algorithm. (machine learning, feature selection, input selection)

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updated 3 months ago

Binary Genetic Algorithm Feature Selection.zip by Oluleye Babatunde

Genetic Algorithm for Feature Selection (genetic algorithm, feature selection, zernike moments)

Binary_Genetic_Algorithm_Hezy_2013

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updated 4 months ago

Information Theoretic Feature Selection by Xuan Vinh Nguyen

Implementation for state-of-the-art mutual information based feature selection methods (mutual information, feature selection, mrmr)

[QPFSFS,maxRelFS,MRMRFS,QPFS_MImat,minRedFS,MIQFS,timeMax...

[SPECCMI_Fs,MRMTRFS,QPFS_JMImat,weights,CMIMFS,CIFEFS,tim...

[b,norm_const]=normalize_max(a,nc)

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updated 1 year ago

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,thre...

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updated 1 year ago

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...)

bolster.m

spherecapbetainc.m

svm(P,T,flag)

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updated almost 2 years ago

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

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updated 2 years ago

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

The algorithm performs the combinatorial optimization by using Genetic Algorithms. (feature selection, genetic algorithms, artificial intelligen...)

H=entropia2(X,resolucao)

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

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

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updated 3 years ago

Feature Analysis by Iftekhar Tanveer

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

LDA.m

FeatureAnalysis.m

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updated 3 years ago

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)

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updated 3 years ago

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)

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updated 3 years ago

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

Demo code and data for the "Fitting with MATLAB" webinar (poisson regression, logistic regression, orthogonal regression)

evalTumorWeight(t , p)

objFcn(p , tObs, drug)

CensoredData.m

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updated 3 years ago

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)

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updated almost 4 years ago

Neuro-fuzzy classifier by Bayram

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

custmf1(input, params)

fismat=nfc_fis(input,target,center,sigma_nf,class,clustsi...

nfc_feature_select.m

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updated 4 years ago

Feature Selection Based on Interaction Information by Stefan Schroedl

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

demo_feature_select

cond_entropy.m

dimensionalize.m

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updated 5 years ago

Mass Spectrometry Bayesian Network Analysis Tool by Karl Kuschner

Finds diagnostic features in the spectra of biologic samples by using a Bayesian Network approach (mass spectrometry, bayesian network, feature selection)

[IntOut IDOut PredClass Class2Vars Var2Vars MetaVars Tria...

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updated 7 years ago

minimum-redundancy maximum-relevance feature selection by Hanchuan Peng

The source codes of minimum redundancy feature selection (statistics, probability, minimumredundancy)

mrmr_mid_d(d, f, K)

mrmr_miq_d(d, f, K)

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updated 7 years ago

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

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

condentropy(vec1,vec2)

condmutualinfo(vec1,vec2,condvec)

entropy(vec1)

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