PashaIanko/Semi-Supervised-Labelling

This project elaborates on solving the problem of semi-supervised labelling / clustering, by leveraging gradient-based methods (Gradient Method, Block Coordinate Gradient Descent with randomized and cyclic approach). Gradient-based methods are implemented, and compared based on publicly available data and accuracy VS CPU analysis.