Modelizing character allographs in omni-scriptor frame: a new non-supervised clustering algorithm

@article{Prevost2000ModelizingCA,
  title={Modelizing character allographs in omni-scriptor frame: a new non-supervised clustering algorithm},
  author={Lionel Prevost and Maurice Milgram},
  journal={Pattern Recognition Letters},
  year={2000},
  volume={21},
  pages={295-302}
}
The ``problem of the allographs'' speci®c of the dynamic handwriting in omni-scriptor context renders the implementation of ``classical'' clustering algorithms particularly delicate because it introduces the notion of heterogeneous classes characterized by strongly variable example densities. We propose here a hybrid clustering algorithm combining both a prototype placement stage and an adaptation stage. The process reduces drastically the number of references to be examined during a k-nn… CONTINUE READING
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