Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning

  • Authors:
  • Thomas Villmann;Frank-Michael Schleif;Barbara Hammer

  • Affiliations:
  • University Leipzig, Germany;University Leipzig, Germany;Clausthal University of Technology, Germany

  • Venue:
  • ICMLA '05 Proceedings of the Fourth International Conference on Machine Learning and Applications
  • Year:
  • 2005

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Abstract

We extend soft nearest neighbor classification to fuzzy classification with adaptive class labels. The adaptation follows a gradient descent on a cost function. Further, it is applicable for general distance measures, in particular task specific choices and relevance learning for metric adaptation can be done. The performance of the algorithm is shown on synthetic as well as on real life data taken from proteomic research.