Direct LDA and PCA+LDA by Vipin Vijayan

Implementation of LDA, Direct LDA and PCA+LDA. See description for details. (linear discriminant a..., lda, fischers linear discr...)

directlda(X,y,k,method,m)

directlda_demo

fld(X, L, n, crit, qrf, r, e, M )

Fischer Linear Dicriminant Analysis by Sergios Petridis

find the discriminative susbspace for samples using fischer linear dicriminant analysis (statistics, machine learning, pattern recognition)

fld(X, L, n, crit, qrf, r, e, M )

LDA by Adeel

Linear Discriminent Analysis by using the example of a flower. (lda, image recognition, image processing)

lda2.m

American Sign Language Detection using PCA and LDA by Neeraj

Provides scripts for testing the two algorithms as well as testing real time input. (american sign languag..., pca, lda)

ASLfisher(ImgMat,V_PCA,nRows,nColumns,omega,Class_number,Cl...

ASLsvm(cAlpha,nTrainingSamples,InImWeight,omega)

ASlknn(cAlpha,nTrainingSamples,InImWeight,omega)

Uncorrelated Multilinear Discriminant Analysis (UMLDA) by Haiping Lu

The codes implement the Uncorrelated Multilinear Discriminant Analysis (UMLDA) algorithm. (dimensionality reduct..., face recognition, feature extraction)

MaxSWLmds=estMaxSWEV(TX,gndTX)

RUMLDA(TX,gndTX,numP,gamma,MaxSWLmds,iInit)

demoR-UMLDA-Aggr.m

LDA for high dimension small sample size data by Bilwaj Gaonkar

Linear discriminant analysis when the data dimensionality is high and sample size is much smaller (medical, image analysis, signal processing)

lda_kernelized.m

The PhD face recognition toolbox by Vitomir Struc

Useful functions for face recognition research. (epc curve, kpca, kfa)

compute_kernel_matrix_PhD.m

construct_Gabor_filters_PhD.m

evaluate_results_PhD.m

Linear Discriminant Analysis Code by Muhammet

this function converts data from its original space to LDA space. (lda, linear discriminant, multi class)

[sLDA WLDA M WPCA]=mylda(data,class,n)

Feature Analysis by Iftekhar Tanveer

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

LDA.m

FeatureAnalysis.m

supervised NPE(neighborhood preserving embedding) subspace for dimension reduction by Edward Wiggin

compute the supervised NPE(neighborhood preserving embedding) subspace for dimension reduction. (npe, supervised, subspace)

train_snpe( ft,IDs )

LDA (Linear Discriminant Analysis) by Alaa Tharwat

This code used to learn and explain the code of LDA to apply this code in many applications. (lda)

LDA_example.m

LDA: Linear Discriminant Analysis by Will Dwinnell

Performs linear discriminant analysis. (linear discriminant, linear discriminant a..., pattern recognition)

LDA(Input,Target,Priors)

Alaa Tharwat ToolBox by Alaa Tharwat

This toolBox used in the image processing(feature extraction and classification) (lda, svm, knn)

K=normalizekernel(x,kernel,kerneloption,xsup);

T=phispan(x,phitype,dilation,uo,a,bord1,bord2,Family,par);

T=waveletspan(x,dilation,uo,a,leftbound,rightbound);

2DLDA PK LDA for feature extraction by zhizheng Liang

A comparision of 2DLDA and LDA (application, feature extraction, 2dlda)

ADM1(TrainSet,TrainLabel,TestSet,TestLabel, R,L,r,c,mm)

ADM2(TrainSet,TrainLabel,TestSet,TestLabel, R,r,c,mm)

FeatureVector=LDA2D(X,ClassNumber,Xlabel,Height, Width)

discrim by Michael Kiefte

This is version 0.3 of the Discriminant Analysis Toolbox with major bug fixes. (lda, analysis, discriminant)

confmat(c, d)

crossval(rule, X, k, v)

mahalanobis(X, Mu, C)