@inproceedings{bfd974344cbb467dade3a0431ae542b8,
title = "Random vector clustering using fuzzy c-means",
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.",
author = "Hathaway, \{Richard J.\} and Rogers, \{G. Wesley\} and Bezdek, \{James C.\}",
note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998 ; Conference date: 20-08-1998 Through 21-08-1998",
year = "1998",
doi = "10.1109/NAFIPS.1998.715575",
language = "English",
series = "Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "251--255",
editor = "Hall, \{Lawrence O.\} and Jim Bezdek",
booktitle = "1998 Conference of the North American Fuzzy Information Processing Society, NAFIPS 1998",
address = "United States",
}