Extreme.Statistics.Multivariate Namespace

The Extreme.Statistics.Multivariate namespace contains classes that implement multivariate statistical analysis techniques.

Classes

DendrogramNode	Represents a node in a dendrogram.
DistanceMeasures	Provides access to standard distance measures for hierarchical cluster analysis.
Factor	Represents a factor in a factor analysis.
FactorAnalysis	Represents a Factor Analysis.
HierarchicalCluster	Represents a cluster of cases in a cluster analysis.
HierarchicalClusterAnalysis	Represents a hierarchical cluster analysis of a set of data.
HierarchicalClusterCollection	Represents a collection of clusters.
KMeansCluster	Represents a cluster of cases in a K-means cluster analysis.
KMeansClusterAnalysis	Represents a K-Means cluster analysis.
LinearDiscriminantAnalysis	Represents a linear discriminant classification model.
LinearDiscriminantFunction	Represents a discriminant function.
PartialLeastSquaresModel	Represents a Partial Least Squares (PLS) model.
PrincipalComponent	Represents a component in a PrincipalComponentAnalysis.
PrincipalComponentAnalysis	Represents the Principal Component Analysis (PCA) of a set of data.
PrincipalComponentCollection	Represents a collection of principal components in a PrincipalComponentAnalysis.
SimilarityMatrix	Represents a similarity matrix used in hierarchical clustering.

FactorCountMethod	Enumerates the possible ways the number of factors in a factor analysis may be determined.
FactorExtractionMethod	Enumarates the possible ways to extract factors in a factor analysis.
FactorMethod	Enumerates the options for performing factor analysis on a correlation or a covariance matrix.
FactorRotationMethod	Enumerates the possible factor rotation methods for a factor analysis.
FactorScoreMethod	Enumerates the ways factor scores may be computed.
KMeansInitializationMethod	Enumerates the methods that may be used to initialize the K-means clustering algorithm.
LinkageMethod	Enumerates the possible linkage methods in hierarchical cluster analysis.
PartialLeastSquaresMethod	Enumerates the algorithms that may be used to compute a partial least squares (PLS) model.
ScalingMethod	Enumerates the ways to scale the columns in a Principal Component Analysis.