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

@ahmadvhby Ahmad Varasteh · octochains

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

Built withJupyter Notebookclassic-machine-learninglinear-algebramachine-learning-algorithmsnon-negative-matrix-factorization

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