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A Complexity Theoretical Study of Fuzzy K-Means. <i>ACM Transactions on Algorithms</i>. 2020;16(4):1-25. doi:<a href=\"https://doi.org/10.1145/3409385\">10.1145/3409385</a>","chicago":"Blömer, Johannes, Sascha Brauer, and Kathrin Bujna. “A Complexity Theoretical Study of Fuzzy K-Means.” <i>ACM Transactions on Algorithms</i> 16, no. 4 (2020): 1–25. <a href=\"https://doi.org/10.1145/3409385\">https://doi.org/10.1145/3409385</a>.","ieee":"J. Blömer, S. Brauer, and K. Bujna, “A Complexity Theoretical Study of Fuzzy K-Means,” <i>ACM Transactions on Algorithms</i>, vol. 16, no. 4, pp. 1–25, 2020."},"year":"2020","issue":"4","publication_identifier":{"issn":["1549-6325","1549-6333"]},"publication_status":"published","doi":"10.1145/3409385","title":"A Complexity Theoretical Study of Fuzzy K-Means","volume":16,"author":[{"last_name":"Blömer","full_name":"Blömer, Johannes","id":"23","first_name":"Johannes"},{"last_name":"Brauer","id":"13291","full_name":"Brauer, Sascha","first_name":"Sascha"},{"first_name":"Kathrin","full_name":"Bujna, Kathrin","last_name":"Bujna"}],"date_created":"2021-01-08T08:51:42Z","date_updated":"2022-01-06T06:54:41Z","status":"public","publication":"ACM Transactions on Algorithms","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"64"}],"user_id":"13291","_id":"20888","project":[{"name":"Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen","_id":"45"}]},{"publication":"Advances in Data Analysis and Classification","type":"journal_article","status":"public","_id":"10790","project":[{"name":"Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen","_id":"45"}],"department":[{"_id":"64"}],"user_id":"13291","language":[{"iso":"eng"}],"publication_identifier":{"issn":["1862-5347","1862-5355"]},"publication_status":"published","year":"2020","intvolume":"        14","page":"147–173","citation":{"chicago":"Blömer, Johannes, Sascha Brauer, Kathrin Bujna, and Daniel Kuntze. “How Well Do SEM Algorithms Imitate EM Algorithms? A Non-Asymptotic Analysis for Mixture Models.” <i>Advances in Data Analysis and Classification</i> 14 (2020): 147–173. <a href=\"https://doi.org/10.1007/s11634-019-00366-7\">https://doi.org/10.1007/s11634-019-00366-7</a>.","ieee":"J. Blömer, S. Brauer, K. Bujna, and D. Kuntze, “How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models,” <i>Advances in Data Analysis and Classification</i>, vol. 14, pp. 147–173, 2020.","ama":"Blömer J, Brauer S, Bujna K, Kuntze D. How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. <i>Advances in Data Analysis and Classification</i>. 2020;14:147–173. doi:<a href=\"https://doi.org/10.1007/s11634-019-00366-7\">10.1007/s11634-019-00366-7</a>","short":"J. Blömer, S. Brauer, K. Bujna, D. Kuntze, Advances in Data Analysis and Classification 14 (2020) 147–173.","mla":"Blömer, Johannes, et al. “How Well Do SEM Algorithms Imitate EM Algorithms? A Non-Asymptotic Analysis for Mixture Models.” <i>Advances in Data Analysis and Classification</i>, vol. 14, 2020, pp. 147–173, doi:<a href=\"https://doi.org/10.1007/s11634-019-00366-7\">10.1007/s11634-019-00366-7</a>.","bibtex":"@article{Blömer_Brauer_Bujna_Kuntze_2020, title={How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models}, volume={14}, DOI={<a href=\"https://doi.org/10.1007/s11634-019-00366-7\">10.1007/s11634-019-00366-7</a>}, journal={Advances in Data Analysis and Classification}, author={Blömer, Johannes and Brauer, Sascha and Bujna, Kathrin and Kuntze, Daniel}, year={2020}, pages={147–173} }","apa":"Blömer, J., Brauer, S., Bujna, K., &#38; Kuntze, D. (2020). How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. <i>Advances in Data Analysis and Classification</i>, <i>14</i>, 147–173. <a href=\"https://doi.org/10.1007/s11634-019-00366-7\">https://doi.org/10.1007/s11634-019-00366-7</a>"},"date_updated":"2022-01-06T06:50:50Z","volume":14,"date_created":"2019-07-11T08:08:25Z","author":[{"first_name":"Johannes","last_name":"Blömer","full_name":"Blömer, Johannes","id":"23"},{"last_name":"Brauer","id":"13291","full_name":"Brauer, Sascha","first_name":"Sascha"},{"first_name":"Kathrin","last_name":"Bujna","full_name":"Bujna, Kathrin"},{"full_name":"Kuntze, Daniel","last_name":"Kuntze","first_name":"Daniel"}],"title":"How well do SEM algorithms imitate EM algorithms? 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Brauer, Theoretical Computer Science 754 (2019) 88–106.","bibtex":"@article{Brauer_2019, title={Complexity of single-swap heuristics for metric facility location and related problems}, volume={754}, DOI={<a href=\"https://doi.org/10.1016/j.tcs.2018.04.048\">10.1016/j.tcs.2018.04.048</a>}, journal={Theoretical Computer Science}, publisher={Elsevier}, author={Brauer, Sascha}, year={2019}, pages={88–106} }","mla":"Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” <i>Theoretical Computer Science</i>, vol. 754, Elsevier, 2019, pp. 88–106, doi:<a href=\"https://doi.org/10.1016/j.tcs.2018.04.048\">10.1016/j.tcs.2018.04.048</a>.","apa":"Brauer, S. (2019). Complexity of single-swap heuristics for metric facility location and related problems. <i>Theoretical Computer Science</i>, <i>754</i>, 88–106. <a href=\"https://doi.org/10.1016/j.tcs.2018.04.048\">https://doi.org/10.1016/j.tcs.2018.04.048</a>","ieee":"S. Brauer, “Complexity of single-swap heuristics for metric facility location and related problems,” <i>Theoretical Computer Science</i>, vol. 754, pp. 88–106, 2019.","chicago":"Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” <i>Theoretical Computer Science</i> 754 (2019): 88–106. <a href=\"https://doi.org/10.1016/j.tcs.2018.04.048\">https://doi.org/10.1016/j.tcs.2018.04.048</a>.","ama":"Brauer S. Complexity of single-swap heuristics for metric facility location and related problems. <i>Theoretical Computer Science</i>. 2019;754:88-106. doi:<a href=\"https://doi.org/10.1016/j.tcs.2018.04.048\">10.1016/j.tcs.2018.04.048</a>"},"year":"2019"},{"title":"Classification and Approximation of Geometric Location Problems","doi":"10.17619/UNIPB/1-816","date_updated":"2022-01-06T06:51:41Z","date_created":"2019-10-09T10:00:53Z","supervisor":[{"first_name":"Johannes","id":"23","full_name":"Blömer, Johannes","last_name":"Blömer"}],"author":[{"first_name":"Sascha","full_name":"Brauer, Sascha","id":"13291","last_name":"Brauer"}],"place":"Paderborn","year":"2019","citation":{"ama":"Brauer S. <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn; 2019. doi:<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>","chicago":"Brauer, Sascha. <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn, 2019. <a href=\"https://doi.org/10.17619/UNIPB/1-816\">https://doi.org/10.17619/UNIPB/1-816</a>.","ieee":"S. Brauer, <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn, 2019.","short":"S. Brauer, Classification and Approximation of Geometric Location Problems, Paderborn, 2019.","bibtex":"@book{Brauer_2019, place={Paderborn}, title={Classification and Approximation of Geometric Location Problems}, DOI={<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>}, author={Brauer, Sascha}, year={2019} }","mla":"Brauer, Sascha. <i>Classification and Approximation of Geometric Location Problems</i>. 2019, doi:<a href=\"https://doi.org/10.17619/UNIPB/1-816\">10.17619/UNIPB/1-816</a>.","apa":"Brauer, S. (2019). <i>Classification and Approximation of Geometric Location Problems</i>. Paderborn. <a href=\"https://doi.org/10.17619/UNIPB/1-816\">https://doi.org/10.17619/UNIPB/1-816</a>"},"language":[{"iso":"eng"}],"project":[{"name":"Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen","_id":"45"}],"_id":"13679","user_id":"13291","department":[{"_id":"64"}],"status":"public","type":"dissertation"},{"page":"46:1--46:12","citation":{"short":"J. Blömer, S. Brauer, K. 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Coresets for Fuzzy K-Means with Applications. In <i>29th International Symposium on Algorithms and Computation  (ISAAC 2018)</i> (pp. 46:1--46:12). Jiaoxi, Yilan County, Taiwan: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. <a href=\"https://doi.org/10.4230/LIPIcs.ISAAC.2018.46\">https://doi.org/10.4230/LIPIcs.ISAAC.2018.46</a>","ama":"Blömer J, Brauer S, Bujna K. Coresets for Fuzzy K-Means with Applications. In: <i>29th International Symposium on Algorithms and Computation  (ISAAC 2018)</i>. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik; 2018:46:1--46:12. doi:<a href=\"https://doi.org/10.4230/LIPIcs.ISAAC.2018.46\">10.4230/LIPIcs.ISAAC.2018.46</a>","chicago":"Blömer, Johannes, Sascha Brauer, and Kathrin Bujna. “Coresets for Fuzzy K-Means with Applications.” In <i>29th International Symposium on Algorithms and Computation  (ISAAC 2018)</i>, 46:1--46:12. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2018. <a href=\"https://doi.org/10.4230/LIPIcs.ISAAC.2018.46\">https://doi.org/10.4230/LIPIcs.ISAAC.2018.46</a>.","ieee":"J. Blömer, S. Brauer, and K. Bujna, “Coresets for Fuzzy K-Means with Applications,” in <i>29th International Symposium on Algorithms and Computation  (ISAAC 2018)</i>, Jiaoxi, Yilan County, Taiwan, 2018, pp. 46:1--46:12."},"year":"2018","publication_identifier":{"isbn":["978-3-95977-094-1"]},"publication_status":"published","doi":"10.4230/LIPIcs.ISAAC.2018.46","conference":{"start_date":"2018-12-17","name":"29th International Symposium on Algorithms and Computation (ISAAC)","location":"Jiaoxi, Yilan County, Taiwan","end_date":"2018-12-19"},"title":"Coresets for Fuzzy K-Means with Applications","author":[{"full_name":"Blömer, Johannes","id":"23","last_name":"Blömer","first_name":"Johannes"},{"first_name":"Sascha","full_name":"Brauer, Sascha","id":"13291","last_name":"Brauer"},{"first_name":"Kathrin","full_name":"Bujna, Kathrin","last_name":"Bujna"}],"date_created":"2018-09-03T08:04:19Z","publisher":"Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik","date_updated":"2022-01-06T07:00:57Z","status":"public","publication":"29th International Symposium on Algorithms and Computation  (ISAAC 2018)","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"64"}],"user_id":"13291","_id":"4344","project":[{"name":"Soft-Clustering - Von Heuristiken zu Approximationsalgorithmen","_id":"45"}]},{"language":[{"iso":"eng"}],"publication":"Lecture Notes in Computer Science","abstract":[{"lang":"eng","text":"Metric facility location and K-means are well-known problems of combinatorial optimization. Both admit a fairly simple heuristic called single-swap, which adds, drops or swaps open facilities until it reaches a local optimum. For both problems, it is known that this algorithm produces a solution that is at most a constant factor worse than the respective global optimum. In this paper, we show that single-swap applied to the weighted metric uncapacitated facility location and weighted discrete K-means problem is tightly PLS-complete and hence has exponential worst-case running time."}],"publisher":"Springer International Publishing","date_created":"2018-04-17T12:20:53Z","title":"Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems","year":"2017","_id":"2381","department":[{"_id":"64"}],"user_id":"13291","type":"book_chapter","editor":[{"last_name":"Fotakis","full_name":"Fotakis, Dimitris","first_name":"Dimitris"},{"first_name":"Aris","full_name":"Pagourtzis, Aris","last_name":"Pagourtzis"},{"last_name":"Paschos","full_name":"Paschos, Vangelis Th.","first_name":"Vangelis Th."}],"status":"public","date_updated":"2022-01-06T06:56:00Z","volume":10236,"author":[{"last_name":"Brauer","full_name":"Brauer, Sascha","id":"13291","first_name":"Sascha"}],"doi":"10.1007/978-3-319-57586-5_11","conference":{"location":"Athens, Greece","end_date":"2017-05-26","start_date":"2017-05-24","name":"10th International Conference on Algorithms and Complexity"},"publication_identifier":{"isbn":["9783319575858","9783319575865"],"issn":["0302-9743","1611-3349"]},"publication_status":"published","place":"Cham","intvolume":"     10236","page":"116-127","citation":{"bibtex":"@inbook{Brauer_2017, place={Cham}, title={Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems}, volume={10236}, DOI={<a href=\"https://doi.org/10.1007/978-3-319-57586-5_11\">10.1007/978-3-319-57586-5_11</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer International Publishing}, author={Brauer, Sascha}, editor={Fotakis, Dimitris and Pagourtzis, Aris and Paschos, Vangelis Th.Editors}, year={2017}, pages={116–127} }","mla":"Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” <i>Lecture Notes in Computer Science</i>, edited by Dimitris Fotakis et al., vol. 10236, Springer International Publishing, 2017, pp. 116–27, doi:<a href=\"https://doi.org/10.1007/978-3-319-57586-5_11\">10.1007/978-3-319-57586-5_11</a>.","short":"S. Brauer, in: D. Fotakis, A. Pagourtzis, V.T. Paschos (Eds.), Lecture Notes in Computer Science, Springer International Publishing, Cham, 2017, pp. 116–127.","apa":"Brauer, S. (2017). Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems. In D. Fotakis, A. Pagourtzis, &#38; V. T. Paschos (Eds.), <i>Lecture Notes in Computer Science</i> (Vol. 10236, pp. 116–127). Cham: Springer International Publishing. <a href=\"https://doi.org/10.1007/978-3-319-57586-5_11\">https://doi.org/10.1007/978-3-319-57586-5_11</a>","ieee":"S. Brauer, “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems,” in <i>Lecture Notes in Computer Science</i>, vol. 10236, D. Fotakis, A. Pagourtzis, and V. T. Paschos, Eds. Cham: Springer International Publishing, 2017, pp. 116–127.","chicago":"Brauer, Sascha. “Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems.” In <i>Lecture Notes in Computer Science</i>, edited by Dimitris Fotakis, Aris Pagourtzis, and Vangelis Th. Paschos, 10236:116–27. Cham: Springer International Publishing, 2017. <a href=\"https://doi.org/10.1007/978-3-319-57586-5_11\">https://doi.org/10.1007/978-3-319-57586-5_11</a>.","ama":"Brauer S. Complexity of Single-Swap Heuristics for Metric Facility Location and Related Problems. In: Fotakis D, Pagourtzis A, Paschos VT, eds. <i>Lecture Notes in Computer Science</i>. Vol 10236. Cham: Springer International Publishing; 2017:116-127. doi:<a href=\"https://doi.org/10.1007/978-3-319-57586-5_11\">10.1007/978-3-319-57586-5_11</a>"}},{"title":"Hard-Clustering with Gaussian Mixture Models","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1603.06478"}],"oa":"1","date_updated":"2022-01-06T06:58:49Z","publisher":"Computing Research Repository","author":[{"last_name":"Blömer","full_name":"Blömer, Johannes","id":"23","first_name":"Johannes"},{"id":"13291","full_name":"Brauer, Sascha","last_name":"Brauer","first_name":"Sascha"},{"first_name":"Kathrin","full_name":"Bujna, Kathrin","last_name":"Bujna"}],"date_created":"2018-06-04T12:26:51Z","year":"2016","citation":{"chicago":"Blömer, Johannes, Sascha Brauer, and Kathrin Bujna. “Hard-Clustering with Gaussian Mixture Models.” Computing Research Repository, 2016.","ieee":"J. Blömer, S. Brauer, and K. Bujna, “Hard-Clustering with Gaussian Mixture Models.” Computing Research Repository, 2016.","ama":"Blömer J, Brauer S, Bujna K. Hard-Clustering with Gaussian Mixture Models. 2016.","mla":"Blömer, Johannes, et al. <i>Hard-Clustering with Gaussian Mixture Models</i>. Computing Research Repository, 2016.","short":"J. Blömer, S. Brauer, K. Bujna, (2016).","bibtex":"@article{Blömer_Brauer_Bujna_2016, title={Hard-Clustering with Gaussian Mixture Models}, publisher={Computing Research Repository}, author={Blömer, Johannes and Brauer, Sascha and Bujna, Kathrin}, year={2016} }","apa":"Blömer, J., Brauer, S., &#38; Bujna, K. (2016). Hard-Clustering with Gaussian Mixture Models. Computing Research Repository."},"_id":"2969","user_id":"25078","department":[{"_id":"64"}],"status":"public","type":"preprint"},{"abstract":[{"text":"One of the most popular fuzzy clustering techniques is the fuzzy K-means algorithm (also known as fuzzy-c-means or FCM algorithm). In contrast to the K-means and K-median problem, the underlying fuzzy K-means problem has not been studied from a theoretical point of view. In particular, there are no algorithms with approximation guarantees similar to the famous K-means++ algorithm known for the fuzzy K-means problem. This work initiates the study of the fuzzy K-means problem from an algorithmic and complexity theoretic perspective. We show that optimal solutions for the fuzzy K-means problem cannot, in general, be expressed by radicals over the input points. Surprisingly, this already holds for simple inputs in one-dimensional space. Hence, one cannot expect to compute optimal solutions exactly. We give the first (1+eps)-approximation algorithms for the fuzzy K-means problem. First, we present a deterministic approximation algorithm whose runtime is polynomial in N and linear in the dimension D of the input set, given that K is constant, i.e. a polynomial time approximation scheme (PTAS) for fixed K. We achieve this result by showing that for each soft clustering there exists a hard clustering with similar properties. Second, by using techniques known from coreset constructions for the K-means problem, we develop a deterministic approximation algorithm that runs in time almost linear in N but exponential in the dimension D. We complement these results with a randomized algorithm which imposes some natural restrictions on the sought solution and whose runtime is comparable to some of the most efficient approximation algorithms for K-means, i.e. linear in the number of points and the dimension, but exponential in the number of clusters.","lang":"eng"}],"status":"public","publication":"2016 IEEE 16th International Conference on Data Mining (ICDM)","type":"conference","keyword":["unsolvability by radicals","clustering","fuzzy k-means","probabilistic method","approximation algorithms","randomized algorithms"],"language":[{"iso":"eng"}],"_id":"2367","department":[{"_id":"64"}],"user_id":"25078","year":"2016","page":"805-810","citation":{"apa":"Blömer, J., Brauer, S., &#38; Bujna, K. (2016). A Theoretical Analysis of the Fuzzy K-Means Problem. In <i>2016 IEEE 16th International Conference on Data Mining (ICDM)</i> (pp. 805–810). Barcelona, Spain: IEEE. <a href=\"https://doi.org/10.1109/icdm.2016.0094\">https://doi.org/10.1109/icdm.2016.0094</a>","bibtex":"@inproceedings{Blömer_Brauer_Bujna_2016, title={A Theoretical Analysis of the Fuzzy K-Means Problem}, DOI={<a href=\"https://doi.org/10.1109/icdm.2016.0094\">10.1109/icdm.2016.0094</a>}, booktitle={2016 IEEE 16th International Conference on Data Mining (ICDM)}, publisher={IEEE}, author={Blömer, Johannes and Brauer, Sascha and Bujna, Kathrin}, year={2016}, pages={805–810} }","mla":"Blömer, Johannes, et al. “A Theoretical Analysis of the Fuzzy K-Means Problem.” <i>2016 IEEE 16th International Conference on Data Mining (ICDM)</i>, IEEE, 2016, pp. 805–10, doi:<a href=\"https://doi.org/10.1109/icdm.2016.0094\">10.1109/icdm.2016.0094</a>.","short":"J. Blömer, S. Brauer, K. Bujna, in: 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, 2016, pp. 805–810.","ama":"Blömer J, Brauer S, Bujna K. A Theoretical Analysis of the Fuzzy K-Means Problem. In: <i>2016 IEEE 16th International Conference on Data Mining (ICDM)</i>. IEEE; 2016:805-810. doi:<a href=\"https://doi.org/10.1109/icdm.2016.0094\">10.1109/icdm.2016.0094</a>","chicago":"Blömer, Johannes, Sascha Brauer, and Kathrin Bujna. “A Theoretical Analysis of the Fuzzy K-Means Problem.” In <i>2016 IEEE 16th International Conference on Data Mining (ICDM)</i>, 805–10. IEEE, 2016. <a href=\"https://doi.org/10.1109/icdm.2016.0094\">https://doi.org/10.1109/icdm.2016.0094</a>.","ieee":"J. Blömer, S. Brauer, and K. 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(2014). <i>A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures</i>."},"date_updated":"2022-01-06T06:58:44Z","date_created":"2018-05-25T09:45:38Z","author":[{"last_name":"Brauer","full_name":"Brauer, Sascha","id":"13291","first_name":"Sascha"}],"supervisor":[{"last_name":"Blömer","id":"23","full_name":"Blömer, Johannes","first_name":"Johannes"}],"title":"A Probabilistic Expectation Maximization Algorithm for Multivariate Laplacian Mixtures"}]
