Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps

@article{ConanGuez2006FastAA,
  title={Fast Algorithm and Implementation of Dissimilarity Self-Organizing Maps},
  author={B. Conan-Guez and F. Rossi and A{\"i}cha El Golli},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2006},
  volume={19 6-7},
  pages={
          855-63
        }
}
  • B. Conan-Guez, F. Rossi, Aïcha El Golli
  • Published 2006
  • Computer Science, Medicine
  • Neural networks : the official journal of the International Neural Network Society
  • In many real-world applications, data cannot be accurately represented by vectors. In those situations, one possible solution is to rely on dissimilarity measures that enable a sensible comparison between observations. Kohonen's self-organizing map (SOM) has been adapted to data described only through their dissimilarity matrix. This algorithm provides both nonlinear projection and clustering of nonvector data. Unfortunately, the algorithm suffers from a high cost that makes it quite difficult… CONTINUE READING
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