Re­search

Thematic Priorities

Projects

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

Pub­lic­a­tions

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]