QuadraticDiscriminantFunction.MahalanobisDistances Property

public Vector<double> MahalanobisDistances { get; }

Public ReadOnly Property MahalanobisDistances As Vector(Of Double)
	Get

public:
property Vector<double>^ MahalanobisDistances {
	Vector<double>^ get ();
}

member MahalanobisDistances : Vector<float> with get

Property Value

Mahalanobis distances measure the separation between group centroids while accounting for the covariance structure. These distances indicate how well-separated this group is from others.

When interpreting classification results, you can use these distances to understand potential misclassification patterns. Groups that are closer together in Mahalanobis distance are more likely to be confused with each other, which can guide the development of additional discriminating features or hierarchical classification strategies.

Reference