Results 21 to 30 of about 2,052,954 (190)

Directional clustering through matrix factorization [PDF]

open access: yes, 2016
This paper deals with a clustering problem where feature vectors are clustered depending on the angle between feature vectors, that is, feature vectors are grouped together if they point roughly in the same direction.
Blumensath, Thomas
core   +1 more source

Symmetric Nonnegative Trifactorization of Pattern Matrices [PDF]

open access: yes, 2023
A factorization of an $n$ x $n$ nonnegative symmetric matrix $A$ of the form $BCB^T$, where $C$ is a $k$ x $k$ symmetric matrix, and both $B$ and $C$ are required to be nonnegative, is called the Symmetric Nonnegative Matrix Trifactorization (SN ...
Šmigoc, Helena   +2 more
core   +1 more source

Distributed-Memory Parallel Symmetric Nonnegative Matrix Factorization

open access: yesSC20: International Conference for High Performance Computing, Networking, Storage and Analysis, 2020
We develop the first distributed-memory parallel implementation of Symmetric Nonnegative Matrix Factorization (SymNMF), a key data analytics kernel for clustering and dimensionality reduction. Our implementation includes two different algorithms for SymNMF, which give comparable results in terms of time and accuracy.
Srinivas Eswar   +5 more
openaire   +3 more sources

Theorems on positive data: on the uniqueness of NMF. [PDF]

open access: yes, 2008
We investigate the conditions for which nonnegative matrix factorization (NMF) is unique and introduce several theorems which can determine whether the decomposition is in fact unique or not.
Plumbley, MD   +9 more
core   +1 more source

Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]

open access: yes, 2009
Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter   +3 more
core   +1 more source

A projective approach to nonnegative matrix factorization [PDF]

open access: yes, 2021
In data science and machine learning, the method of nonnegative matrix factorization (NMF) is a powerful tool that enjoys great popularity. Depending on the concrete application, there exist several subclasses each of which performs a NMF under certain ...
Groetzner, Patrick
core   +1 more source

Fast and Effective Algorithms for Symmetric Nonnegative Matrix Factorization

open access: yesCoRR, 2016
Symmetric Nonnegative Matrix Factorization (SNMF) models arise naturally as simple reformulations of many standard clustering algorithms including the popular spectral clustering method. Recent work has demonstrated that an elementary instance of SNMF provides superior clustering quality compared to many classic clustering algorithms on a variety of ...
Reza Borhani   +2 more
openaire   +3 more sources

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square

open access: yesFrontiers in Genetics, 2018
Increasing evidence has indicated that microRNAs (miRNAs) are associated with numerous human diseases. Studying the associations between miRNAs and diseases contributes to the exploration of effective diagnostic and treatment approaches for diseases ...
Yan Zhao, Xing Chen, Jun Yin
doaj   +1 more source

Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization

open access: yesCoRR, 2018
Accepted in NIPS ...
Zhihui Zhu   +3 more
openaire   +3 more sources

Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization

open access: yesCoRR, 2015
25 pages, 5 figures, 7 tables. Main changes: comparison with another symNMF algorithm (namely, BetaSNMF), and correction of an error in the convergence ...
Arnaud Vandaele   +4 more
openaire   +2 more sources

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