Mathematical Sciences: Faculty Publications
Random Vector Clustering Using Fuzzy C-Means
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
Copyright
This work is archived and distributed under the repository's Standard Copyright and Reuse License (opens in new tab). End users may copy, store, and distribute this work without restriction. For all other uses, permission must be obtained from the copyright owners or their authorized agents.
