Random Vector Clustering Using Fuzzy C-Means

Authors

Richard J. Hathaway, Georgia Southern UniversityFollow
G. Wesley Rogers, Georgia Southern UniversityFollow
James C. Bezdek, University of West FloridaFollow

Document Type

Conference Proceeding

Publication Date

8-20-1998

Publication Title

1998 Conference of the North American Fuzzy Information Processing Society (NAFIPS)

DOI

10.1109/NAFIPS.1998.715575

ISBN

0-7803-4453-7

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.

Recommended Citation

Hathaway, Richard J., G. Wesley Rogers, James C. Bezdek. 1998. "Random Vector Clustering Using Fuzzy C-Means." 1998 Conference of the North American Fuzzy Information Processing Society (NAFIPS): 251-255 Pensacola Beach, FL: IEEE. doi: 10.1109/NAFIPS.1998.715575 isbn: 0-7803-4453-7
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/159