Non-parametric Power-law Data Clustering

no code implementations • 13 Jun 2013 • Xuhui Fan, Yiling Zeng, Longbing Cao

However, several problems remains unsolved in this pioneering work, including the power-law data applicability, mechanism to merge centers to avoid the over-fitting problem, clustering order problem, e. t. c.. To address these issues, the Pitman-Yor Process based k-means (namely \emph{pyp-means}) is proposed in this paper.

Clustering Variational Inference