The Softmap Algorithm

  title={The Softmap Algorithm},
  author={Steven Raekelboom and Marc M. Van Hulle},
  journal={Neural Processing Letters},
A new unsupervised competitive learning rule is introduced, called the Self-organizing free-topology map (Softmap) algorithm, for nonparametric density estimation. The receptive fields of the formal neurons are overlapping, radially-symmetric kernels, the radii of which are adapted to the local input density together with the weight vectors which define the kernel centers. A fuzzy code membership function is introduced in order to encompass, in a novel way, the presence of overlapping receptive… CONTINUE READING

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