ahmadvh / Non-Negative-Matrix-factorization---Implemented-in-python

This repository provides Python implementations for Non-negative Matrix Factorization (NMF) using the Multiplicative Update (MU) algorithm. Two initialization methods are supported: random initialization and Non-negative Double Singular Value Decomposition (NNDSVD). NMF is a matrix factorization technique used in various fields, including topic mod

Date Created 2020-03-26 (4 years ago)

Commits 20 (last one 2 months ago)

Stargazers 58 (0 this week)

Watchers 4 (0 this week)

Forks 24

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RepositoryStats indexes 599,932 repositories, of these ahmadvh/Non-Negative-Matrix-factorization---Implemented-in-python is ranked #427,292 (29th percentile) for total stargazers, and #378,864 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,044/17,704.

ahmadvh/Non-Negative-Matrix-factorization---Implemented-in-python is also tagged with popular topics, for these it's ranked: machine-learning-algorithms (#219/275), linear-algebra (#199/245)

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Homepage URL: https://www.linkedin.com/in/ahmadvarasteh/

All Topics

linear-algebra classic-machine-learning machine-learning-algorithms non-negative-matrix-factorization

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10 commits on the default branch (master) since jan '22

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updated: 2024-12-04 @ 12:51pm, id: 250249595 / R_kgDODuqBew