J. Blömer, S. Brauer, and K. Bujna, “A Complexity Theoretical Study of Fuzzy K-Means,” ACM Transactions on Algorithms, vol. 16, no. 4, pp. 1–25, 2020.

J. Blömer, S. Brauer, K. Bujna, and D. Kuntze, “How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models,” Advances in Data Analysis and Classification, vol. 14, pp. 147–173, 2020.

S. Brauer, “Complexity of single-swap heuristics for metric facility location and related problems,” Theoretical Computer Science, vol. 754, pp. 88–106, 2019.

S. Brauer, Classification and Approximation of Geometric Location Problems. Paderborn, 2019.

J. Blömer, S. Brauer, and K. Bujna, “Coresets for Fuzzy K-Means with Applications,” in 29th International Symposium on Algorithms and Computation  (ISAAC 2018), Jiaoxi, Yilan County, Taiwan, 2018, pp. 46:1--46:12.

S. Brauer, “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems,” in Lecture Notes in Computer Science, vol. 10236, D. Fotakis, A. Pagourtzis, and V. T. Paschos, Eds. Cham: Springer International Publishing, 2017, pp. 116–127.

J. Blömer, S. Brauer, and K. Bujna, “Hard-Clustering with Gaussian Mixture Models.” Computing Research Repository, 2016.

J. Blömer, S. Brauer, and K. Bujna, “A Theoretical Analysis of the Fuzzy K-Means Problem,” in 2016 IEEE 16th International Conference on Data Mining (ICDM), Barcelona, Spain, 2016, pp. 805–810.

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