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-% This is a matlab code for Non-negative Matrix Factorization via Nesterov's
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-% Optimal Gradient Method.
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-
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-% In this project we have applied random projections to the aforementioned
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-% technique via two variants of random projections,namely:
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-
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-% 1. Randomized Power iterations RPI NeNMF
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-% 2. Randomized Subspace Iterations RSI NeNMF
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-
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-% HOW TO RUN THE CODE.
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-%
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-% Step 1: run the file "add_paths", to ensure all the folders and files are added to your matlab working path.
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-% Step 2: run the file "data_simulations", to generate your synthetic data.
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-% step 3: run the file "Demo" to execute the functions available in the folder "algorithms"
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-
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-% Results of the execution are saved in the folder "output"
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-
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-% To make plots, use the file "plots".
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