Uses of Class
com.imsl.stat.DiscriminantAnalysis.EmptyGroupException

Packages that use DiscriminantAnalysis.EmptyGroupException

Package	Description
com.imsl.stat	Statistical methods.

Uses of DiscriminantAnalysis.EmptyGroupException in com.imsl.stat

Methods in com.imsl.stat that throw DiscriminantAnalysis.EmptyGroupException

Modifier and Type	Method and Description
void	DiscriminantAnalysis.classify(double[][] x) Classify a set of observations using the linear or quadratic discriminant functions generated during the training process.
void	DiscriminantAnalysis.classify(double[][] x, int[] varIndex) Classify a set of observations using the linear or quadratic discriminant functions generated during the training process.
void	DiscriminantAnalysis.classify(double[][] x, int[] frequencies, double[] weights) Classify a set of observations and associated frequencies and weights using the linear or quadratic discriminant functions generated during the training process.
void	DiscriminantAnalysis.classify(double[][] x, int[] group, int[] varIndex) Classify a set of observations and compare against known groups using the linear or quadratic discriminant functions generated during the training process.
void	DiscriminantAnalysis.classify(double[][] x, int[] varIndex, int[] frequencies, double[] weights) Classify a set of observations and associated frequencies and weights using the linear or quadratic discriminant functions generated during the training process.
void	DiscriminantAnalysis.classify(double[][] x, int[] group, int[] varIndex, int[] frequencies, double[] weights) 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.
double[][]	DiscriminantAnalysis.getCoefficients() Returns the linear discriminant function coefficients.
double[][][]	DiscriminantAnalysis.getCovariance() Returns the array of covariances.
double[][]	DiscriminantAnalysis.getMahalanobis() Returns the Mahalanobis distances between the group means.
double[][]	DiscriminantAnalysis.getMeans() Returns the variable means.
double[]	DiscriminantAnalysis.getStatistics() Returns statistics.