Naive Bayes Classifier by Indraneel Biswas

Script for Naive Bayes Classifier in Matlab 2008a (confusionmat, machine learning, bayes naive classifie...)

confMat=myconfusionmat(v,pv)

NaiveBayesClassifier.m

Naive Bayes Classifier by Avinash Parnandi

Implementation of a Naive Bayes Classifier with two functional and one non functional example. (naive bayes, naive bayes classifie..., classifier)

naive_bayes_classifer.m

Classic AdaBoost Classifier by Dirk-Jan Kroon

Weak threshold classifier boosted to strong Classifier with Adaboost (adaboost, boosting, classification)

[estimateclasstotal,model]=adaboost(mode,datafeatures,datac...

example.m

MultiClass LDA by Darko Juric

Performs multiclass linear discriminant analysis. (classifier, data mining, multiclasslda)

LDA

LDA_Demo.m

LDA: Linear Discriminant Analysis by Will Dwinnell

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

LDA(Input,Target,Priors)

DeltaRule by Will Dwinnell

Trains a single artificial neuron using the delta rule. (neural, neural net, neural network)

DeltaRule(X,Y,LearningRate,MinimumWeightChange,MaximumPasse...

Logistic(Input)

Basic PCA based log-Likelihood Classifier by Dirk-Jan Kroon

PCA algorithm suitable for detection / recognition of 2D image "objects" (classification, recognition, likelihood)

[Lmean,Gmean,Cgppca,invCgppca,Vtot]=train_model(L,G)

[distanceL,distanceG,LogLikelihood]=apply_model(T,Lmean,Gme...

example_classifier_ms.m

Orthogonal Quadratic Discriminant Fuctions by Suicheng Gu

A new quadratic discriminant fuction (pattern recognition, classifier, quadratic discriminan...)

[total,Evector]=OQDF_M(tr,trl,te,tel,gamma)

[total,ml]=NC(tr,trl,te,tel)

[total]=OQDF_E(tr,trl,te,tel,gamma)

Fuzzy k-NN by Cuneyt Mertayak

Fuzzy k-nearest neighbors classifier that was proposed by J. M. Keller et.al. (statistics, probability, fuzzy)

f_knn(tr,tr_memberships,te,k)

AdaBoost by Cuneyt Mertayak

AdaBoost: The meta machine learning algorithm formulated by Yoav Freund and Robert Schapire (adaboost, adaptive boosting, classification)

ADABOOST_te(adaboost_model,te_func_handle,test_set,...

ADABOOST_tr(tr_func_handle, te_func_handle, train_set, labe...

likelihood2class(likelihoods)

Matlab Weka Interface by Matt Dunham

Matlab interface for Weka Classifiers (classifier, matlab2weka, weka2matlab)

[mdata,featureNames,targetNDX,stringVals,relationName] =...

loadARFF(filename)

matlab2weka(name, featureNames, data,targetIndex)

Parzen classifier by Sebastien PARIS

Mex implementation of a Parzen classifier (classifier, parzen, probability)

test_parzen.m

K-NN mex by Sebastien PARIS

Mex implementation of the KNN classifier (posteriori, knn, mex)

Two-Category Classifier by kirit patel

Obtain optimal decision boundary. (statistics, probability, discriminant)

Discriminant(varargin)

bnorm(mu, covar, range, n)

disc2class(normden1, normden2, prior1, prior2, range, n)