Schwerpunkte

• Clusteranalyse

Projekte

• Entwicklung einer praxisnahen Theorie für Clusteringalgorithmen durch datengetriebene Modellierung und Analyse (DFG Schwerpunktprogramm 1307)

• Kathrin Bujna
  Soft Clustering Algorithms - Theoretical and Practical Improvements
  PhD Thesis, Paderborn University, 2017, [Download]

• 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]

• Johannes Blömer, Sascha Brauer, Kathrin Bujna
  Complexity and Approximation of the Fuzzy K-Means Problem
  In: Computing Research Repository, 2015, [Download]

• 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]

• 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]