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Statistics and Machine Learning Toolbox Classes

BetaDistribution Beta probability distribution object
BinomialDistribution Binomial probability distribution object
BirnbaumSaundersDistribution Birnbaum-Saunders probability distribution object
BurrDistribution Burr probability distribution object
ClassificationBaggedEnsemble Classification ensemble grown by resampling
ClassificationDiscriminant Discriminant analysis classification
ClassificationECOC Multiclass model for support vector machines or other classifiers
ClassificationEnsemble Ensemble classifier
ClassificationKNN k-nearest neighbor classification
ClassificationNaiveBayes Naive Bayes classification
ClassificationPartitionedECOC Cross-validated multiclass model for support vector machines or other classifiers
ClassificationPartitionedEnsemble Cross-validated classification ensemble
ClassificationPartitionedModel Cross-validated classification model
ClassificationSVM Support vector machine for binary classification
ClassificationTree Binary decision tree for classification
clustering.evaluation.CalinskiHarabaszEvaluation Calinski-Harabasz criterion clustering evaluation object
clustering.evaluation.DaviesBouldinEvaluation Davies-Bouldin criterion clustering evaluation object
clustering.evaluation.GapEvaluation Gap criterion clustering evaluation object
clustering.evaluation.SilhouetteEvaluation Silhouette criterion clustering evaluation object
CompactClassificationDiscriminant Compact discriminant analysis class
CompactClassificationECOC Compact multiclass model for support vector machines or other classifiers
CompactClassificationEnsemble Compact classification ensemble class
CompactClassificationNaiveBayes Compact naive Bayes classifier
CompactClassificationSVM Compact support vector machine for binary classification
CompactClassificationTree Compact classification tree
CompactRegressionEnsemble Compact regression ensemble class
CompactRegressionTree Compact regression tree
CompactTreeBagger Compact ensemble of decision trees grown by bootstrap aggregation
cvpartition Data partitions for cross validation
dataset Arrays for statistical data
ExhaustiveSearcher Exhaustive nearest neighbors searcher
ExponentialDistribution Exponential probability distribution object
ExtremeValueDistribution Extreme value probability distribution object
GammaDistribution Gamma probability distribution object
GeneralizedExtremeValueDistribution Generalized extreme value probability distribution object
GeneralizedLinearMixedModel Generalized linear mixed-effects model class
GeneralizedLinearModel Generalized linear regression model class
GeneralizedParetoDistribution Generalized Pareto probability distribution object
gmdistribution Gaussian mixture models
haltonset Halton quasi-random point sets
InverseGaussianDistribution Inverse Gaussian probability distribution object
KDTreeSearcher Nearest neighbor search using Kd-tree
KernelDistribution Kernel probability distribution object
LinearMixedModel Linear mixed-effects model class
LinearModel Linear regression model class
LogisticDistribution Logistic probability distribution object
LoglogisticDistribution Loglogistic probability distribution object
LognormalDistribution Lognormal probability distribution object
MultinomialDistribution Multinomial probability distribution object
NakagamiDistribution Nakagami probability distribution object
NegativeBinomialDistribution Negative binomial distribution object
nominal Arrays for nominal data
NonLinearModel Nonlinear regression model class
NormalDistribution Normal probability distribution object
ordinal Arrays for ordinal data
PiecewiseLinearDistribution Piecewise linear probability distribution object
PoissonDistribution Poisson probability distribution object
qrandset Quasi-random point sets
qrandstream Quasi-random number streams
RayleighDistribution Rayleigh probability distribution object
RegressionBaggedEnsemble Regression ensemble grown by resampling
RegressionEnsemble Ensemble regression
RegressionPartitionedEnsemble Cross-validated regression ensemble
RegressionPartitionedModel Cross-validated regression model
RegressionTree Regression tree
RepeatedMeasuresModel Repeated measures model class
RicianDistribution Rician probability distribution object
sobolset Sobol quasi-random point sets
tLocationScaleDistribution t Location-Scale probability distribution object
TreeBagger Names of classes
TriangularDistribution Triangular probability distribution object
UniformDistribution Uniform probability distribution object
WeibullDistribution Weibull probability distribution object
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