Fuzzy voting in clustering

Dimitriadou, Evgenia and Weingessel, Andreas and Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 (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
document.pdf

Download (830kB)

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 08:29
Last Modified: 24 Oct 2019 13:41
URI: https://epub.wu.ac.at/id/eprint/742

Actions

View Item View Item

Downloads

Downloads per month over past year

View more statistics