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NonnegativeMatrixFactorization Class

Nonnegative Matrix Factorization.
Inheritance Hierarchy

Namespace:  Accord.Math.Decompositions
Assembly:  Accord.Math (in Accord.Math.dll) Version: 3.7.0
public class NonnegativeMatrixFactorization
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The NonnegativeMatrixFactorization type exposes the following members.

Public propertyLeftNonnegativeFactors
Gets the nonnegative factor matrix W.
Public propertyRightNonnegativeFactors
Gets the nonnegative factor matrix H.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Extension Methods
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodToT
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)

Non-negative matrix factorization (NMF) is a group of algorithms in multivariate analysis and linear algebra where a matrix X is factorized into (usually) two matrices, W and H. The non-negative factorization enforces the constraint that the factors W and H must be non-negative, i.e., all elements must be equal to or greater than zero. The factorization is not unique.


See Also