DiscriminantAnalysis Members

DiscriminantAnalysis Constructor Constructor for DiscriminantAnalysis.

ClassificationMethod	The classification method.
CovarianceComputation	The type of covariance matrices to be computed.
DiscriminationMethod	The discrimination method.
NRowsMissing	Returns the number of rows of data encountered containing missing values (`NaN`).
PriorType	The type of prior probabilities to be computed.

Equals (inherited from Object)	Determines whether the specified Object is equal to the current Object.
GetClassMembership	Returns the group number to which the observation was classified.
GetClassTable	Returns the classification table.
GetCoefficients	Returns the linear discriminant function coefficients.
GetCovariance	Returns the array of covariances.
GetGroupCounts	Returns the group counts.
GetHashCode (inherited from Object)	Serves as a hash function for a particular type, suitable for use in hashing algorithms and data structures like a hash table.
GetMahalanobis	Returns the Mahalanobis distances between the group means.
GetMeans	Returns the variable means.
GetPrior	Returns the prior probabilities for each group.
GetProbability	Returns the posterior probabilities for each observation.
GetStatistics	Returns statistics.
GetType (inherited from Object)	Gets the Type of the current instance.
SetPrior	Sets the prior probabilities for each group.
ToString (inherited from Object)	Returns a String that represents the current Object.
Update	Overloaded. Processes a set of observations and performs a linear or quadratic discriminant function analysis among the several known groups.

Finalize (inherited from Object)	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
MemberwiseClone (inherited from Object)	Creates a shallow copy of the current Object.