Corpus ID: 11272432

Alternative Ways for Cluster Visualization inSelf-Organizing

  title={Alternative Ways for Cluster Visualization inSelf-Organizing},
  author={mapsDieter and Merkl and Andreas and RauberInstitut and F. Softwaretechnik},
We present two enhanced visualization techniques for the self-organizing map allowing the intuitive representation of input data similarity. The general idea of both approaches is to visualize the relationship of nodes to facilitate the detection of cluster boundaries without modifying the architecture or the basic training process of SOM. One approach mirrors the movement of weight vectors during the training process within a two-dimensional (virtual) output space, whereas the second results… Expand


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Alternative Ways for Cluster Visualization in Self-Organizing Maps Dieter Merkl
  • Proceedings of the Workshop on Self-Organizing Maps (WSOM'97)
  • 1997
On the similarity of eagles, hawks, and cows { Visualization of similarity in self-organizing maps
  • Proc Int'l Workshop Fuzzy-Neuro-Systems'97
  • 1997
Cluster Visualization in Unsupervised Neural Networks
  • Cluster Visualization in Unsupervised Neural Networks
  • 1996
Cluster Visualization in Unsupervised Neural Networks. Diplomarbeit, Technische Universit
  • 1996
The e ect of lateral inhibition on learning speed and precision of a self-organizing map
  • In Proc Australian Conf on Neural Networks, Sydney, Australia,
  • 1995