Results 21 to 30 of about 2,052,954 (190)
Directional clustering through matrix factorization [PDF]
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]
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
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]
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]
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]
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
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
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
Accepted in NIPS ...
Zhihui Zhu +3 more
openaire +3 more sources
Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization
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

