Dynamic self-organising map

@article{Rougier2011DynamicSM,
  title={Dynamic self-organising map},
  author={Nicolas P. Rougier and Yann Boniface},
  journal={Neurocomputing},
  year={2011},
  volume={74},
  pages={1840-1847}
}
6 We present in this paper a variation of the self-organising map algorithm where the original 7 time-dependent (learning rate and neighbourhood) learning function is replaced by a time8 invariant one. This allows for on-line and continuous learning on both static and dynamic 9 data distributions. One of the property of the newly proposed algorithm is that it does 10 not fit the magnification law and the achieved vector density is not directly proportional 11 to the density of the distribution… CONTINUE READING
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