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21 Publications
2009 | Dissertation | LibreCat-ID: 2911
Ackermann, Marcel Rudolf. Algorithms for the Bregman K-Median Problem. Universität Paderborn, 2009.
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2009 | Book Chapter | LibreCat-ID: 2995
Ackermann, Marcel R., and Johannes Blömer. “Coresets and Approximate Clustering for Bregman Divergences.” Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2009, pp. 1088–97, doi:10.1137/1.9781611973068.118.
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2010 | Book Chapter | LibreCat-ID: 2988
Ackermann, Marcel R., and Johannes Blömer. “Bregman Clustering for Separable Instances.” SWAT 2010, Springer Berlin Heidelberg, 2010, pp. 212–23, doi:10.1007/978-3-642-13731-0_21.
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2010 | Journal Article | LibreCat-ID: 2990
Ackermann, Marcel R., et al. “Clustering for Metric and Nonmetric Distance Measures.” ACM Trans. Algorithms, no. 4, 2010, pp. 59:1--59:26, doi:10.1145/1824777.1824779.
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2010 | Journal Article | LibreCat-ID: 2991
Krueger, Alexander, et al. “On the Initialization of Dynamic Models for Speech Features.” Proc. of ITG Fachtagung Sprachkommunikation. ITG, Bochum, Germany, 2010.
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2011 | Conference Paper | LibreCat-ID: 2985
Ackermann, Marcel R., et al. Hardness and Non-Approximability of Bregman Clustering Problems. 2011.
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2012 | Conference Paper | LibreCat-ID: 2982
Ackermann, Marcel Rudolf, et al. StreamKM++: A Clustering Algorithm for Data Streams. Vol. 17, ACM, 2012, doi:10.1145/2133803.2184450.
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2013 | Dissertation | LibreCat-ID: 2909
Kuntze, Daniel. Practical Algorithms for Clustering and Modeling Large Data Sets - Analysis and Improvements. Universität Paderborn, 2013.
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2014 | Mastersthesis | LibreCat-ID: 2900
Brauer, Sascha. A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures. 2014.
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2014 | Journal Article | LibreCat-ID: 2976
Ackermann, Marcel Rudolf, et al. “Analysis of Agglomerative Clustering.” Algorithmica, vol. 69, Springer US, 2014, doi:10.1007/s00453-012-9717-4.
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2014 | Conference Paper | LibreCat-ID: 2977
Blömer, Johannes, et al. “A Theoretical and Experimental Comparison of the EM and SEM Algorithm.” 2014 22nd International Conference on Pattern Recognition, IEEE, 2014, doi:10.1109/icpr.2014.253.
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2016 | Preprint | LibreCat-ID: 2969 | 
Blömer, Johannes, et al. Hard-Clustering with Gaussian Mixture Models. Computing Research Repository, 2016.
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2016 | Book Chapter | LibreCat-ID: 2970
Blömer, Johannes, and Kathrin Bujna. “Adaptive Seeding for Gaussian Mixture Models.” Advances in Knowledge Discovery and Data Mining, Springer International Publishing, 2016, pp. 296–308, doi:10.1007/978-3-319-31750-2_24.
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2016 | Conference Paper | LibreCat-ID: 2367
Blömer, Johannes, et al. “A Theoretical Analysis of the Fuzzy K-Means Problem.” 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, 2016, pp. 805–10, doi:10.1109/icdm.2016.0094.
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2017 | Dissertation | LibreCat-ID: 2908
Bujna, Kathrin. Soft Clustering Algorithms - Theoretical and Practical Improvements. Universität Paderborn, 2017, doi:10.17619/UNIPB/1-226.
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2017 | Book Chapter | LibreCat-ID: 2381
Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” Lecture Notes in Computer Science, edited by Dimitris Fotakis et al., vol. 10236, Springer International Publishing, 2017, pp. 116–27, doi:10.1007/978-3-319-57586-5_11.
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2018 | Conference Paper | LibreCat-ID: 4344
Blömer, Johannes, et al. “Coresets for Fuzzy K-Means with Applications.” 29th International Symposium on Algorithms and Computation (ISAAC 2018), Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2018, pp. 46:1--46:12, doi:10.4230/LIPIcs.ISAAC.2018.46.
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2019 | Journal Article | LibreCat-ID: 2916
Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” Theoretical Computer Science, vol. 754, Elsevier, 2019, pp. 88–106, doi:10.1016/j.tcs.2018.04.048.
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2019 | Dissertation | LibreCat-ID: 13679
Brauer, Sascha. Classification and Approximation of Geometric Location Problems. 2019, doi:10.17619/UNIPB/1-816.
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2020 | Journal Article | LibreCat-ID: 20888
Blömer, Johannes, et al. “A Complexity Theoretical Study of Fuzzy K-Means.” ACM Transactions on Algorithms, vol. 16, no. 4, 2020, pp. 1–25, doi:10.1145/3409385.
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2020 | Journal Article | LibreCat-ID: 10790
Blömer, Johannes, et al. “How Well Do SEM Algorithms Imitate EM Algorithms? A Non-Asymptotic Analysis for Mixture Models.” Advances in Data Analysis and Classification, vol. 14, 2020, pp. 147–173, doi:10.1007/s11634-019-00366-7.
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