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updated 2 years ago

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

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updated 2 years ago

Naive Bayes Classifier by Avinash Parnandi

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

naive_bayes_classifer.m

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updated 2 years ago

Classic AdaBoost Classifier by Dirk-Jan Kroon

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

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

example.m

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updated 3 years ago

MultiClass LDA by Darko Juric

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

LDA

LDA_Demo.m

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updated almost 4 years ago

LDA: Linear Discriminant Analysis by Will Dwinnell

Performs linear discriminant analysis. (statistics, lda, linear discriminant)

LDA(Input,Target,Priors)

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updated 4 years ago

DeltaRule by Will Dwinnell

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

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

Logistic(Input)

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updated 4 years ago

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

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

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

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

example_classifier_ms.m

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updated 5 years ago

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)

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updated 6 years ago

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)

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updated 6 years ago

AdaBoost by Cuneyt Mertayak

AdaBoost: The meta machine learning algorithm formulated by Yoav Freund and Robert Schapire (statistics, probability, adaboost)

ADABOOST_te(adaboost_model,te_func_handle,test_set,...

ADABOOST_tr(tr_func_handle, te_func_handle, train_set, la...

likelihood2class(likelihoods)

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updated 6 years ago

Matlab Weka Interface by Matt Dunham

Matlab interface for Weka Classifiers (statistics, probability, weka)

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

loadARFF(filename)

matlab2weka(name, featureNames, data,targetIndex)

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updated almost 7 years ago

Parzen classifier by Sebastien PARIS

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

test_parzen.m

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updated almost 7 years ago

K-NN mex by Sebastien PARIS

Mex implementation of the KNN classifier (statistics, probability, knn)

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updated 11 years ago

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)

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