Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Non-negative_matrix_factorization> ?p ?o }
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- Non-negative_matrix_factorization subject Category:Linear_algebra.
- Non-negative_matrix_factorization subject Category:Machine_learning_algorithms.
- Non-negative_matrix_factorization subject Category:Matrix_theory.
- Non-negative_matrix_factorization subject Category:Multivariate_statistics.
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- Non-negative_matrix_factorization comment "Non-negative matrix factorization (NMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra where a matrix V is factorized into (usually) two matrices W and H, with the property that all three matrices have no negative elements. This non-negativity makes the resulting matrices easier to inspect. Also, in applications such as processing of audio spectrograms non-negativity is inherent to the data being considered.".
- Non-negative_matrix_factorization label "Non-negative matrix factorization".
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- Non-negative_matrix_factorization sameAs Q10843505.
- Non-negative_matrix_factorization wasDerivedFrom Non-negative_matrix_factorization?oldid=708202397.
- Non-negative_matrix_factorization depiction NMF.png.
- Non-negative_matrix_factorization isPrimaryTopicOf Non-negative_matrix_factorization.
