9 Publications

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[9]
2020 | Journal Article | LibreCat-ID: 20888
Blömer, J., Brauer, S., & Bujna, K. (2020). A Complexity Theoretical Study of Fuzzy K-Means. ACM Transactions on Algorithms, 16(4), 1–25. https://doi.org/10.1145/3409385
LibreCat | DOI
 
[8]
2020 | Journal Article | LibreCat-ID: 10790
Blömer, J., Brauer, S., Bujna, K., & Kuntze, D. (2020). How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. Advances in Data Analysis and Classification, 14, 147–173. https://doi.org/10.1007/s11634-019-00366-7
LibreCat | DOI
 
[7]
2019 | Journal Article | LibreCat-ID: 2916
Brauer, S. (2019). Complexity of single-swap heuristics for metric facility location and related problems. Theoretical Computer Science, 754, 88–106. https://doi.org/10.1016/j.tcs.2018.04.048
LibreCat | DOI
 
[6]
2019 | Dissertation | LibreCat-ID: 13679
Brauer, S. (2019). Classification and Approximation of Geometric Location Problems. Paderborn. https://doi.org/10.17619/UNIPB/1-816
LibreCat | DOI
 
[5]
2018 | Conference Paper | LibreCat-ID: 4344
Blömer, J., Brauer, S., & Bujna, K. (2018). Coresets for Fuzzy K-Means with Applications. In 29th International Symposium on Algorithms and Computation  (ISAAC 2018) (pp. 46:1--46:12). Jiaoxi, Yilan County, Taiwan: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ISAAC.2018.46
LibreCat | DOI
 
[4]
2017 | Book Chapter | LibreCat-ID: 2381
Brauer, S. (2017). Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems. In D. Fotakis, A. Pagourtzis, & V. T. Paschos (Eds.), Lecture Notes in Computer Science (Vol. 10236, pp. 116–127). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-57586-5_11
LibreCat | DOI
 
[3]
2016 | Preprint | LibreCat-ID: 2969 | OA
Blömer, J., Brauer, S., & Bujna, K. (2016). Hard-Clustering with Gaussian Mixture Models. Computing Research Repository.
LibreCat | Download (ext.)
 
[2]
2016 | Conference Paper | LibreCat-ID: 2367
Blömer, J., Brauer, S., & Bujna, K. (2016). A Theoretical Analysis of the Fuzzy K-Means Problem. In 2016 IEEE 16th International Conference on Data Mining (ICDM) (pp. 805–810). Barcelona, Spain: IEEE. https://doi.org/10.1109/icdm.2016.0094
LibreCat | DOI
 
[1]
2014 | Mastersthesis | LibreCat-ID: 2900
Brauer, S. (2014). A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures.
LibreCat | Files available
 

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9 Publications

Mark all

[9]
2020 | Journal Article | LibreCat-ID: 20888
Blömer, J., Brauer, S., & Bujna, K. (2020). A Complexity Theoretical Study of Fuzzy K-Means. ACM Transactions on Algorithms, 16(4), 1–25. https://doi.org/10.1145/3409385
LibreCat | DOI
 
[8]
2020 | Journal Article | LibreCat-ID: 10790
Blömer, J., Brauer, S., Bujna, K., & Kuntze, D. (2020). How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. Advances in Data Analysis and Classification, 14, 147–173. https://doi.org/10.1007/s11634-019-00366-7
LibreCat | DOI
 
[7]
2019 | Journal Article | LibreCat-ID: 2916
Brauer, S. (2019). Complexity of single-swap heuristics for metric facility location and related problems. Theoretical Computer Science, 754, 88–106. https://doi.org/10.1016/j.tcs.2018.04.048
LibreCat | DOI
 
[6]
2019 | Dissertation | LibreCat-ID: 13679
Brauer, S. (2019). Classification and Approximation of Geometric Location Problems. Paderborn. https://doi.org/10.17619/UNIPB/1-816
LibreCat | DOI
 
[5]
2018 | Conference Paper | LibreCat-ID: 4344
Blömer, J., Brauer, S., & Bujna, K. (2018). Coresets for Fuzzy K-Means with Applications. In 29th International Symposium on Algorithms and Computation  (ISAAC 2018) (pp. 46:1--46:12). Jiaoxi, Yilan County, Taiwan: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/LIPIcs.ISAAC.2018.46
LibreCat | DOI
 
[4]
2017 | Book Chapter | LibreCat-ID: 2381
Brauer, S. (2017). Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems. In D. Fotakis, A. Pagourtzis, & V. T. Paschos (Eds.), Lecture Notes in Computer Science (Vol. 10236, pp. 116–127). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-57586-5_11
LibreCat | DOI
 
[3]
2016 | Preprint | LibreCat-ID: 2969 | OA
Blömer, J., Brauer, S., & Bujna, K. (2016). Hard-Clustering with Gaussian Mixture Models. Computing Research Repository.
LibreCat | Download (ext.)
 
[2]
2016 | Conference Paper | LibreCat-ID: 2367
Blömer, J., Brauer, S., & Bujna, K. (2016). A Theoretical Analysis of the Fuzzy K-Means Problem. In 2016 IEEE 16th International Conference on Data Mining (ICDM) (pp. 805–810). Barcelona, Spain: IEEE. https://doi.org/10.1109/icdm.2016.0094
LibreCat | DOI
 
[1]
2014 | Mastersthesis | LibreCat-ID: 2900
Brauer, S. (2014). A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures.
LibreCat | Files available
 

Search

Filter Publications

Display / Sort

Citation Style: APA

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