SOMMER: self-organising maps for education and research

Michael Schmuker, Florian Schwarte, André Brück, Ewgenij Proschak, Yusuf Tanrikulu, Alireza Givehchi, Kai Scheiffele, Gisbert Schneider

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.

Original languageEnglish
Pages (from-to)225-8
Number of pages4
JournalJournal of Molecular Modeling
Issue number1
Publication statusPublished - Jan 2007


  • Algorithms
  • Artificial Intelligence
  • Chemistry, Pharmaceutical
  • Computer Graphics
  • Computer Simulation
  • Drug Design
  • Models, Chemical
  • Models, Molecular
  • Models, Statistical
  • Neural Networks (Computer)
  • Pattern Recognition, Automated
  • Programming Languages
  • Software


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