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

Packages that use DiscriminantAnalysis.CovarianceSingularException

Package	Description
com.imsl.stat	Statistical methods.

Uses of DiscriminantAnalysis.CovarianceSingularException in com.imsl.stat

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

Modifier and Type	Method	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.