Determinantal consensus clustering

no code implementations • 7 Feb 2021 • Serge Vicente, Alejandro Murua

Simulations with artificial datasets and applications to real datasets show that determinantal consensus clustering outperform classical algorithms such as k-medoids and k-means consensus clusterings which are based on uniform random sampling of center points.

Clustering Clustering Ensemble +1