Package | Description |
---|---|
com.imsl.stat |
Statistical methods.
|
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.
|
void |
DiscriminantAnalysis.downdate(double[][] x,
int[] group)
Removes a set of observations from the discriminant functions.
|
void |
DiscriminantAnalysis.downdate(double[][] x,
int[] group,
int[] varIndex)
Removes a set of observations from the discriminant functions.
|
void |
DiscriminantAnalysis.downdate(double[][] x,
int[] group,
int[] frequencies,
double[] weights)
Removes a set of observations and associated frequencies and weights
from the discriminant functions.
|
void |
DiscriminantAnalysis.downdate(double[][] x,
int[] group,
int[] varIndex,
int[] frequencies,
double[] weights)
Removes a set of observations and associated frequencies and weights
from the discriminant functions.
|
void |
DiscriminantAnalysis.update(double[][] x)
Deprecated.
Use
DiscriminantAnalysis.update(double[][], int[]) instead. |
void |
DiscriminantAnalysis.update(double[][] x,
double[] frequencies,
double[] weights)
Deprecated.
|
void |
DiscriminantAnalysis.update(double[][] x,
int groupIndex)
Deprecated.
Use
DiscriminantAnalysis.update(double[][], int[]) instead. |
void |
DiscriminantAnalysis.update(double[][] x,
int[] group)
Trains a set of observations and associated frequencies and weights by
performing a linear or quadratic discriminant function analysis among
several known groups.
|
void |
DiscriminantAnalysis.update(double[][] x,
int[] varIndex,
double[] frequencies,
double[] weights)
Deprecated.
|
void |
DiscriminantAnalysis.update(double[][] x,
int[] group,
int[] varIndex)
Trains a set of observations and associated frequencies and weights by
performing a linear or quadratic discriminant function analysis among
several known groups.
|
void |
DiscriminantAnalysis.update(double[][] x,
int[] group,
int[] frequencies,
double[] weights)
Trains a set of observations and associated frequencies and weights by
performing a linear or quadratic discriminant function analysis among
several known groups.
|
void |
DiscriminantAnalysis.update(double[][] x,
int[] group,
int[] varIndex,
int[] frequencies,
double[] weights)
Trains a set of observations and associated frequencies and weights by
performing a linear or quadratic discriminant function analysis among
several known groups.
|
void |
DiscriminantAnalysis.update(double[][] x,
int groupIndex,
double[] frequencies,
double[] weights)
Deprecated.
|
void |
DiscriminantAnalysis.update(double[][] x,
int groupIndex,
int[] varIndex)
Deprecated.
|
void |
DiscriminantAnalysis.update(double[][] x,
int groupIndex,
int[] varIndex,
double[] frequencies,
double[] weights)
Deprecated.
|
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