Numerics.NET.Statistics.Multivariate Namespace

The Numerics.NET.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.
FastIca	Implements Independent Component Analysis (ICA) using the FastICA algorithm.
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.
LinearDiscriminantDirection	Represents a discriminant function.
LinearDiscriminantFunction	Represents a linear 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.
QuadraticDiscriminantAnalysis	Represents a quadratic discriminant classification model.
QuadraticDiscriminantFunction	Represents a quadratic discriminant function.
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.
FastIcaContrastFunction	Enumerates the contrast functions used in ICA.
FastIcaMethod	Specifies the algorithmic mode for extracting independent components in FastICA.
FastIcaWhiteningMode	Specifies the whitening strategy applied to the input data before ICA extraction.
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.