# Non-negative Matrix Factorization: Robust Extraction of Extended Structures

@article{Rn2017NonnegativeMF, title={Non-negative Matrix Factorization: Robust Extraction of Extended Structures}, author={Bin R{\'e}n and Laurent Pueyo and Guangtun Ben Zhu and John H. Debes and Gaspard Duch{\^e}ne}, journal={ArXiv}, year={2017}, volume={abs/1712.10317} }

We apply the vectorized Non-negative Matrix Factorization (NMF) method to post-processing of direct imaging data for exoplanetary systems such as circumstellar disks. NMF is an iterative approach, which first creates a non-orthogonal and non-negative basis of components using given reference images, then models a target with the components. The constructed model is then rescaled with a factor to compensate for the contribution from a disk. We compare NMF with existing methods (classical… Expand

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Dimensionality Reduction Code for Images using Nonnegative Matrix Factorization

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Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data

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