Synthetic Data Generation by Non-negative Matrix Factorization (NMF)
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Updated
Aug 12, 2023 - MATLAB
Synthetic Data Generation by Non-negative Matrix Factorization (NMF)
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
This is the accompanying repository for the article Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization authored by Ondřej Mokrý, Paul Magron, Thomas Oberlin and Cédric Févotte, published in Elsevier Signal Processing.
Nonnegative matrix factorization using a fuzzy entropy similarity measure.
Source code for the paper titled "Towards Weak Signal Analysis in Hyperspectral Data: A Semi-supervised Unmixing Perspective"
MLNMF: Multilayer Nonnegative Matrix Factorization
Discrete Overlapping Community Detection with Pseudo Supervision
Adaptive Affinity Learning for Accurate Community Detection
Deep Autoencoder-like NMF
SoptSC for single cell data analysis: unsupervised inference of clustering, cell lineage, pseudotime and cell-cell communication network from scRNA-seq data.
Hybrid NMF to integrate genomic data and phenotype data for better patient subtyping. Paper in Bioinformatics.
Texture synthesis based on sparse representation.
Group sparse NMF, variational Bayesian learning.
Joint Dictionary Learning-based Non-Negative Matrix Factorization for Voice Conversion (TBME 2016)
Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
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