Simple methods for initializing the em algorithm for gaussian mixture models J Blömer, K Bujna
CoRR, 2013
40 2013 Adaptive seeding for Gaussian mixture models J Blömer, K Bujna
Pacific-asia conference on knowledge discovery and data mining, 296-308, 2016
22 2016 Back to the roots of genres: Text classification by language function H Wachsmuth, K Bujna
Proceedings of 5th International Joint Conference on Natural Language …, 2011
16 2011 A theoretical analysis of the fuzzy k-means problem J Blömer, S Brauer, K Bujna
2016 IEEE 16th International Conference on Data Mining (ICDM), 805-810, 2016
11 2016 A theoretical and experimental comparison of the EM and SEM algorithm J Blömer, K Bujna, D Kuntze
2014 22nd international conference on pattern recognition, 1419-1424, 2014
6 2014 Coresets for Fuzzy K-Means with Applications J Blömer, S Brauer, K Bujna
29th International Symposium on Algorithms and Computation (ISAAC 2018), 2018
4 2018 Complexity and approximation of the fuzzy k-means problem J Blömer, S Brauer, K Bujna
arXiv preprint arXiv:1512.05947, 2015
4 2015 Hard-clustering with gaussian mixture models J Blömer, S Brauer, K Bujna
arXiv preprint arXiv:1603.06478, 2016
3 2016 A Complexity Theoretical Study of Fuzzy K -Means J Blömer, S Brauer, K Bujna
ACM Transactions on Algorithms (TALG) 16 (4), 1-25, 2020
1 2020 How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models J Blömer, S Brauer, K Bujna, D Kuntze
Advances in Data Analysis and Classification 14, 147-173, 2020
1 2020 Multi-Plant Photovoltaic Energy Forecasting Challenge with Regression Tree Ensembles and Hourly Average Forecasts. K Bujna, M Wistuba
DC@ PKDD/ECML, 2017
1 2017 Soft Clustering Algorithms: Theoretical and Practical Improvements K Bujna
Universität Paderborn, 2017
1 2017 On Coreset Constructions for the Fuzzy -Means Problem J Blömer, S Brauer, K Bujna
arXiv preprint arXiv:1612.07516, 2016
1 2016 Soft Clustering Algorithms K Bujna
2017