Forschung
Schwerpunkte
Projekte
- Entwicklung einer praxisnahen Theorie für Clusteringalgorithmen durch datengetriebene Modellierung und Analyse (DFG Schwerpunktprogramm 1307)
Publikationen
2017
- Kathrin Bujna
Soft Clustering Algorithms - Theoretical and Practical Improvements
PhD Thesis, Paderborn University, 2017, [Download]
2016
- Johannes Blömer, Sascha Brauer, Kathrin Bujna
A Theoretical Analysis of the Fuzzy K-Means Problem
In: IEEE International Conference on Data Mining (ICDM), 2016 [DOI] - Johannes Blömer, Sascha Brauer, Kathrin Bujna
On Coreset Constructions for the Fuzzy K-Means Problem
In: Computing Research Repository, 2016, [Download] - Johannes Blömer, Sascha Brauer, Kathrin Bujna
Hard-Clustering with Gaussian Mixture Models
In: Computing Research Repository, 2016, [Download] - Johannes Blömer, Kathrin Bujna
Adaptive Seeding for Gaussian Mixture Models
In: Proceedings of the 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016, [DOI]
2015
- Johannes Blömer, Sascha Brauer, Kathrin Bujna
Complexity and Approximation of the Fuzzy K-Means Problem
In: Computing Research Repository, 2015, [Download]
2014
- Johannes Blömer, Kathrin Bujna, Daniel Kuntze
A Theoretical and Experimental Comparison of the EM and SEM Algorithm
In: Proceedings of the 22nd International Conference on Pattern Recognition (ICPR) 2014, Stockholm, Sweden, 2014, [DOI]
2013
- Johannes Blömer, Kathrin Bujna
Simple Methods for Initializing the EM Algorithm for Gaussian Mixture Models
In: Computing Research Repository, 2013, [Download] - Johannes Blömer, Kathrin Bujna, Daniel Kuntze
A Theoretical and Experimental Comparison of the EM and SEM Algorithm
In: Computing Research Repository, 2013, [Download]