Fuzzy clustering algorithms for symbolic interval data based on adaptive and non-adaptive Euclidean distances

  • Authors:

  • Francisco de A. T. de Carvalho

  • Affiliations:

  • Centro de Informatica - CIn / UFPE Cidade Universitaria, Brazil

  • Venue:
  • SBRN '06 Proceedings of the Ninth Brazilian Symposium on Neural Networks
  • Year:
  • 2006

  • Vector fuzzy C-means

    Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning

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Abstract

In this work, we show the development of an adaptive algorithm based on the Ln(cosh \varepsilon) as cost function applied upon the error, called Sigmoidal Algorithm (SA). That function generates a surface which yields fast convergence along with lower ...