1. A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data

J. Tayyebi; E. Hosseinzadeh

Volume 8, Issue 4 , Autumn 2020, , Pages 515-523

http://dx.doi.org/10.22044/jadm.2020.9021.2038

Abstract
  The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal ...  Read More