Non-negative Matrix Factorization

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:algorithm
gptkbp:abbreviation	gptkb:NMF
gptkbp:application	bioinformatics image processing recommender systems text mining
gptkbp:category	unsupervised learning matrix decomposition
gptkbp:field	gptkb:machine_learning linear algebra data mining
https://www.w3.org/2000/01/rdf-schema#label	Non-negative Matrix Factorization
gptkbp:input_constraint	input matrix must have non-negative elements
gptkbp:introduced	1999 Daniel D. Lee H. Sebastian Seung
gptkbp:limitation	local minima scalability for large datasets sensitivity to initialization
gptkbp:objective_function	minimize Frobenius norm minimize Kullback-Leibler divergence minimize reconstruction error
gptkbp:optimizedFor	alternating least squares multiplicative update rules
gptkbp:output	approximate factorization two non-negative matrices
gptkbp:prohibits	non-negativity
gptkbp:property	interpretable factors non-uniqueness of solution parts-based representation
gptkbp:relatedConcept	gptkb:Independent_Component_Analysis gptkb:Factor_Analysis Convex NMF Dictionary Learning Non-negative Tensor Factorization Sparse NMF
gptkbp:relatedTo	gptkb:Singular_Value_Decomposition gptkb:Latent_Semantic_Analysis Principal Component Analysis
gptkbp:software	gptkb:TensorFlow gptkb:MATLAB gptkb:scikit-learn R
gptkbp:usedFor	dimensionality reduction feature extraction topic modeling
gptkbp:bfsParent	gptkb:NMF
gptkbp:bfsLayer	8