LinearDiscriminantFunction Class

Represents a discriminant function.

Definition

Namespace: Numerics.NET.Statistics.Multivariate
Assembly: Numerics.NET (in Numerics.NET.dll) Version: 9.0.2
C#
public class LinearDiscriminantFunction
Inheritance
Object  →  LinearDiscriminantFunction

Remarks

Use the LinearDiscriminantFunction class to access properties of the discriminant functions of a linear discriminant analysis.

Properties

CanonicalCorrelation Gets the canonical correlation of the discriminant function.
Coefficients Gets the standardized coefficients of the discriminant function..
CumulativeProportionOfVariance Gets the proportion of variance explained by the component and all more significant components.
Eigenvalue Gets the eigenvalue of the discriminant function.
EigenvalueDifference Gets the difference between the eigenvalues of the component and the next most significant component.
Eigenvector Gets the eigenvector for the component.
Index Gets the index of the function.
LikelihoodRatio Gets the likelihood ratio for the discriminant function.
ProportionOfVariance Gets the proportion of variance explained by the component.
ValueAtGroupCentroid Gets the value of the discriminant function at the centroid of each group.
WilksLambda Gets the value of Wilks' Lambda for the discriminant function.

Methods

EqualsDetermines whether the specified object is equal to the current object.
(Inherited from Object)
FinalizeAllows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object)
GetFTest Gets an F test that tests the significance of the canonical correlations of the current function and all remaining functions are 0.
GetHashCodeServes as the default hash function.
(Inherited from Object)
GetTypeGets the Type of the current instance.
(Inherited from Object)
MemberwiseCloneCreates a shallow copy of the current Object.
(Inherited from Object)
ToStringReturns a string that represents the current object.
(Inherited from Object)

See Also