Skip to main content
Presentation
Random Vector Clustering Using Fuzzy C-Means
1998 Conference of the North American Fuzzy Information Processing Society (NAFIPS)
  • Richard J. Hathaway, Georgia Southern University
  • G. Wesley Rogers, Georgia Southern University
  • James C. Bezdek, University of West Florida
Document Type
Conference Proceeding
Publication Date
8-20-1998
DOI
10.1109/NAFIPS.1998.715575
ISBN
0-7803-4453-7
Disciplines
Abstract

The fuzzy c-means (FCM) clustering algorithm has long been used to cluster numerical data. Recently FCM has also been used to cluster data sets consisting of mixtures of numerical, interval, and fuzzy data. Here the range of applicability of FCM is shown to include data sets whose feature values are continuous random variables. Parametric and nonparametric approaches are given and demonstrated using a simple computational example.

Citation Information
Richard J. Hathaway, G. Wesley Rogers and James C. Bezdek. "Random Vector Clustering Using Fuzzy C-Means" Pensacola Beach, FL1998 Conference of the North American Fuzzy Information Processing Society (NAFIPS) (1998) p. 251 - 255
Available at: http://works.bepress.com/gerald_rogers/3/