NMFClusteringAlg Class

public class NMFClustering<Alg>
where Alg : new(), INMFUpdateAlgorithm

Public Class NMFClustering(Of Alg As {New, INMFUpdateAlgorithm})

generic<typename Alg>
where Alg : gcnew(), INMFUpdateAlgorithm
public ref class NMFClustering

type NMFClustering<'Alg when 'Alg : new() and INMFUpdateAlgorithm> = class end

Type Parameters

Alg

The NMF update algortithm to use. Must implement the interface INMFUpdateAlgorithm.

The iteration stops when the adjacency matrix is unchanged for a certain number of iterations, that is, it has stabilized. There are three parameters that control the iteration: the maximum number of iterations to perform, the stopping adjacency streak, which is the number of consecutive times the adjancency matrix remains unchanged before it is considered stablized, and the period to generate and check the adjacency matrix. The last parameter is necessary because computing the adjacency matrix can be a somewhat expensive operation that one may not wish to perform at every iteration, but only every nth iteration. For example, running a NMFClustering instance with maximum iterations = 2000, stopping adjacency = 40, and convergence check period = 10, will create a adjacency matrix every 10 iterations and check it against the last one. If they are the same a count is incremented. The iteration will stop when we get 40 consecutive unchaged adjacency matrices, or we hit 2000 iterations - which ever comes first. See the paper Metagenes and Molecular Pattern Discovery Using Matrix Factorization Jean-Philippe Brunet, Pablo Tamayo, Todd R. Golub, and Jill P. Mesirov.

Reference