The DiscriminantAnalysis type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | DiscriminantAnalysis | Constructs a DiscriminantAnalysis.
|
Methods
| Name | Description | |
|---|---|---|
| Classify | Overloaded. |
| Downdate | Overloaded. |
| Equals | (Inherited from Object.) |
 | Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from 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 |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetMahalanobis | Returns the Mahalanobis distances between the group means.
|
| GetMeans |
Returns the variable means.
|
| GetPrior |
Returns the prior probabilities.
|
| GetProbability | Returns the posterior probabilities for each observation.
|
| GetStatistics | Returns statistics.
|
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
| SetPrior |
Specifies user supplied prior probabilities.
|
| ToString | (Inherited from Object.) |
Properties
| Name | Description | |
|---|---|---|
 | ClassificationMethod |
The classification method.
|
| CovarianceComputation |
The type of covariance matrices to be computed.
|
| DiscriminationMethod | The discrimination method.
|
| NumberOfRowsMissing |
The number of rows of data encountered containing missing
values (Double.NaN).
|
| PriorType |
The type of prior probabilities to be calculated.
|
