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Manifold Peaks Nonnegative Matrix Factorization

IEEE Transactions on Neural Networks and Learning Systems
Nonnegative matrix factorization (NMF) has attracted increasing interest for its high interpretability in recent years. It is shown that the NMF is closely related to fuzzy k -means clustering, where the basis matrix represents the cluster centroids.
Xiaohua Xu, Ping He
openaire   +2 more sources

Constrained Clustering With Nonnegative Matrix Factorization

IEEE Transactions on Neural Networks and Learning Systems, 2016
Nonnegative matrix factorization (NMF) and symmetric NMF (SymNMF) have been shown to be effective for clustering linearly separable data and nonlinearly separable data, respectively. Nevertheless, many practical applications demand constrained algorithms in which a small number of constraints in the form of must-link and cannot-link are available.
Xianchao, Zhang   +3 more
openaire   +2 more sources

Virtual label constraint Nonnegative Matrix Factorization

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
This paper proposes a novel Semi-supervised Nonnegative Matrix Factorization (NMF), called Virtual Label Constraint Nonnegative Matrix Factorization (VLCNMF). The idea of the VLCNMF is to extend the NMF by incorporating a virtual label constraint into the NMF decomposition.
null Xiaobing Pei   +2 more
openaire   +1 more source

Graph-Based Multicentroid Nonnegative Matrix Factorization

IEEE Transactions on Neural Networks and Learning Systems
Nonnegative matrix factorization (NMF) is a widely recognized approach for data representation. When it comes to clustering, NMF fails to handle data points located in complex geometries, as each sample cluster is represented by a centroid. In this article, a novel multicentroid-based clustering method called graph-based multicentroid NMF (MCNMF) is ...
Chuan Ma, Yingwei Zhang, Chun-Yi Su
openaire   +2 more sources

Nonnegative Matrix Factorization

2019
Ebert, Peter, Oldouz Majidi
openaire   +2 more sources

The biofilm matrix: multitasking in a shared space

Nature Reviews Microbiology, 2022
Hans-Curt Flemming   +2 more
exaly  

The matrix in cancer

Nature Reviews Cancer, 2021
Thomas Cox
exaly  

Extracellular vesicle–matrix interactions

Nature Reviews Materials, 2023
, Jae-won Shin
exaly  

Cell–extracellular matrix mechanotransduction in 3D

Nature Reviews Molecular Cell Biology, 2023
Aashrith Saraswathibhatla   +2 more
exaly  

The biofilm matrix

Nature Reviews Microbiology, 2010
Hans-Curt Flemming
exaly  

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