Towards an Iterative Classification Based on Concept Lattice

نویسندگان

  • Stéphanie Guillas
  • Karell Bertet
  • Jean-Marc Ogier
چکیده

In this paper, we propose a generic description of the concept lattice as classifier in an iterative recognition process. We also present the development of a new structural signature adapted to noise context. The experimentation is realized on the noised symbols of GREC database [4]. Our experimentation presents a comparison with the two classical numerical classifiers that are the bayesian classifier and the nearest neighbors classifier and some comparison elements for an iterative process.

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تاریخ انتشار 2006