[SerializableAttribute]
public class NMFGdClsUpdate : INMFUpdateAlgorithm, 
	ICloneable

<SerializableAttribute> _
Public Class NMFGdClsUpdate _
	Implements INMFUpdateAlgorithm, ICloneable

[SerializableAttribute]
public ref class NMFGdClsUpdate : INMFUpdateAlgorithm, 
	ICloneable

In some cases it may be desirable to enforce a statistical sparsity constraint on the H matrix. As the sparsity of H increases, the basis vectors become more localized, i.e, the parts-based representation of the data in W becomes more and more enhanced. The Gradient Descent - Constrained Least Squares (GDCLS) algorithm enforces sparsity in H using a scheme that penalizes the number of non-zero entries in H. It is a hybrid algorithm that uses the multiplicative update rule for updating W while H is calculated using a constrained least squares model as the metric.

System..::.Object
  CenterSpace.NMath.Stats..::.NMFGdClsUpdate