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DiscriminantAnalysisClassify Method (Double, Int32, Int32, Int32, Double)
Classify a set of observations, associated frequencies and weights, and compare against known groups using the linear or quadratic discriminant functions generated during the training process.

Namespace: Imsl.Stat
Assembly: ImslCS (in ImslCS.dll) Version: 6.5.2.0
Syntax
public void Classify(
	double[,] x,
	int[] group,
	int[] varIndex,
	int[] frequencies,
	double[] weights
)

Parameters

x
Type: SystemDouble
A double matrix containing the observations with at least nVariables columns. The columns indicated in varIndex correspond to the variables. Additional columns are ignored.
group
Type: SystemInt32
An int array containing the group numbers. The groups must be numbered 1,2, ..., nGroups for each observation.
varIndex
Type: SystemInt32
An int array containing the column indices in x that correspond to the variables to be used in the analysis.
frequencies
Type: SystemInt32
An int array containing the associated frequencies for each observation.
weights
Type: SystemDouble
A double array containing the associated weights for each observation.
Exceptions
ExceptionCondition
SumOfWeightsNegException is thrown when the sum of the weights have become negative.
See Also