Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison

@inproceedings{Fritzke1992KohonenFM,
  title={Kohonen Feature Maps and Growing Cell Structures - a Performance Comparison},
  author={Bernd Fritzke},
  booktitle={NIPS},
  year={1992}
}
A performance comparison of two self-organizing networks, the Kohonen Feature Map and the recently proposed Growing Cell Structures is made. For this purpose several performance criteria for self-organizing networks are proposed and motivated. The models are tested with three example problems of increasing difficulty. The Kohonen Feature Map demonstrates slightly superior results only for the simplest problem. For the other more difficult and also more realistic problems the Growing Cell… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-8 of 8 references

Growing cell structures - a self - organizing network in k dimensions , " in

J. Taylor, B. Fritzke, P. Wilke
Artificial Neural Networks II • 1992

Growing cell structures - a self-organizing network in k dimensions,

B. Fritzke
Artificial Neural Networks II, • 1992

A fully neural approach to image compression,

L. Schweizer, G. Parladori, G. L. Sicuranza, S. Marsi
Artificial Neural Networks, • 1991

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