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