S. Brauer, A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures. 2014.

M. R. Ackermann, J. Blömer, D. Kuntze, and C. Sohler, “Analysis of Agglomerative Clustering,” Algorithmica, vol. 69, 2014.

J. Blömer, K. Bujna, and D. Kuntze, “A Theoretical and Experimental Comparison of the EM and SEM Algorithm,” in 2014 22nd International Conference on Pattern Recognition, 2014.

D. Kuntze, Practical algorithms for clustering and modeling large data sets - Analysis and improvements. Universität Paderborn, 2013.

M. R. Ackermann, M. Märtens, C. Raupach, K. Swierkot, C. Lammersen, and C. Sohler, “StreamKM++: A clustering algorithm for data streams,” vol. 17. ACM, New York, NY, USA, 2012.

M. R. Ackermann, J. Blömer, and C. Scholz, “Hardness and Non-Approximability of Bregman Clustering Problems.” 2011.

M. R. Ackermann and J. Blömer, “Bregman Clustering for Separable Instances,” in SWAT 2010, Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp. 212–223.

M. R. Ackermann, J. Blömer, and C. Sohler, “Clustering for Metric and Nonmetric Distance Measures,” ACM Trans. Algorithms, no. 4, pp. 59:1--59:26, 2010.

A. Krueger, V. Leutnant, R. Haeb-Umbach, M. Ackermann, and J. Blömer, “On the initialization of dynamic models for speech features,” Proc. of ITG Fachtagung Sprachkommunikation. ITG, Bochum, Germany, 2010.

M. R. Ackermann, Algorithms for the Bregman k-Median Problem. Universität Paderborn, 2009.

M. R. Ackermann and J. Blömer, “Coresets and Approximate Clustering for Bregman Divergences,” in Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, Philadelphia, PA: Society for Industrial and Applied Mathematics, 2009, pp. 1088–1097.