A service provided by the WU Library and the WU IT-Services

Fuzzy voting in clustering

Dimitriadou, Evgenia and Weingessel, Andreas and Hornik, Kurt (1999) Fuzzy voting in clustering. Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science", 29. SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, Vienna.

[img]
Preview
PDF
Download (810Kb) | Preview

Abstract

In this paper we present a fuzzy voting scheme for cluster algorithms. This fuzzy voting method allows us to combine several runs of cluster algorithms resulting in a common fuzzy partition. This helps us to overcome instabilities of the cluster algorithms and results in a better clustering.

Item Type: Paper
Keywords: cluster algorithms / fuzzy partition / perturbation / fuzzy data sets
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Departments > Informationsverarbeitung u Prozessmanag. > Informationswirtschaft
Departments > Informationsverarbeitung u Prozessmanag. > Produktionsmanagement > Taudes
Departments > Marketing > Service Marketing und Tourismus
Depositing User: Repository Administrator
Date Deposited: 08 Mar 2002 09:29
Last Modified: 27 Feb 2017 11:21
URI: http://epub.wu.ac.at/id/eprint/742

Actions

View Item