no code implementations • 11 Dec 2018 • Aurélie Fischer, Clément Levrard, Claire Brécheteau
Using a trimming approach, we investigate a k-means type method based on Bregman divergences for clustering data possibly corrupted with clutter noise.
no code implementations • 8 Mar 2018 • Aurélie Fischer, Mathilde Mougeot
We also show on simulated examples that this procedure mixing inputs and outputs is still robust to high dimensional inputs.
no code implementations • 4 Oct 2016 • Aurélie Fischer, Lucie Montuelle, Mathilde Mougeot, Dominique Picard
We focus on wind power modeling using machine learning techniques.