title: Online algorithm for the self-organizing map of symbol strings.
abstract: In this work an online algorithm is presented for the construction of the self-organizing map (SOM) of symbol strings. Each node of the SOM grid is associated with a model string which is a variable-vector sequence. Smooth interpolation method is applied in the training which performs simultaneous adaptation of the symbol content and the length of the model string. The efficiency of the method is demonstrated by the clustering of a 100,000-word English dictionary.
authors.affiliation: Neural Networks Research Centre, Helsinki University of Technology, PO Box 5400, FI-02015 HUT, Finland. panu.somervuo@hut.fi
authors.forename: Panu J
authors.initials: PJ
authors.lastname: Somervuo
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D016571:Neural Networks, Computer; D049250:Speech Recognition Software; D013561:Symbolism