Analytically tractable case of fuzzy c-means clustering

  • Authors:
  • Oleg S. Pianykh

  • Affiliations:
  • Department of Radiology, LSU Health Sciences Center, New Orleans, USA

  • Venue:
  • Pattern Recognition
  • Year:
  • 2006

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Abstract

In this paper, we offer a simple and accurate clustering algorithm which was derived as a closed-form analytical solution to a cluster fit function minimization problem. As a result, the algorithm finds the global minimum of the fit function, and combines exceptional efficiency with optimal clustering results.