QuadraticDiscriminantAnalysis.GroupMeans Property

public Vector<double>[] GroupMeans { get; }

Public ReadOnly Property GroupMeans As Vector(Of Double)()
	Get

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

member GroupMeans : Vector<float>[] with get

Property Value

The group means are the centroids or average feature vectors for each class, calculated from the training data. Each mean vector represents the typical location of observations from its corresponding class in feature space.

These centroids serve as reference points for classification, with new observations being compared to each class centroid using the corresponding class-specific covariance matrix to determine class membership probabilities.

Reference