Information-theoretic clustering and mixture learning
- Robust clustering:
- Mixed divergence clustering, dual pair of centroids per cluster,
On Clustering Histograms with k-Means by Using Mixed a-Divergences (Entropy 2014)
- Generalization of k-means, Further heuristics for k-means: The merge-and-split heuristic and the (k,l)-means (arxiv 2014)
Learning statistical mixtures
Last updated in November 2016 by Frank Nielsen.