Automatic parameter selection for a k-segments algorithm for computing principal curves

  • Authors:
  • Haonan Wang;Thomas C. M. Lee

  • Affiliations:
  • Department of Statistics, Colorado State University, Fort Collins, CO 80523-1877, USA;Department of Statistics, Colorado State University, Fort Collins, CO 80523-1877, USA

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2006

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Abstract

This paper studies the k-segments algorithm proposed by Verbeek et al. [Verbeek, J.J., Vlassis, N., Krose, B., 2002. A k-segments algorithm for finding principal curves, Pattern Recognition Lett. 23, 1009-1017] for computing principal curves. In particular an automatic method for choosing the ''free'' parameters in this k-segments algorithm is proposed. Experimental results are provided to demonstrate the performance of this proposed method.