A New Hierarchical Clustering Algorithm on Fuzzy Data (FHCA)

In this paper, the authors present a novel approach to cluster Fuzzy numbers using Hierarchical method to be CAlled (FHCA). In this approach a Dendrogram is drawn over fuzzy numbers until they could cluster fuzzy numbers using hierarchical cluster tree with inconsistency coefficient or other useful measures. All the similar previous methods extended FCM (Fuzzy Clustering Method) to support fuzzy data. On contrary, the present work is based on hierarchical method, i.e., they extended the hierarchical clustering algorithm to cluster fuzzy data for the first time.

Provided by: International Journal of Computer and Electrical Engineering (IJCEE) Topic: Big Data Date Added: Feb 2010 Format: PDF

Find By Topic