Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection

no code implementations • 22 Sep 2019 • Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes

Specifically, for a small number of reference points, the clustering-based methods outperformed the standard random selection of the original MLM formulation.

Clustering