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Fuzzy Cluster Analysis of Larger Data Sets

Winkler, Roland and Klawonn, Frank and Höppner, Frank and Kruse, Rudolf (2009) Fuzzy Cluster Analysis of Larger Data Sets. In: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design IGI Global. pp. 302-331. ISBN 9781605668581.

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Official URL: http://www.igi-global.com/Bookstore/Chapter.aspx?TitleId=38574


The application of fuzzy cluster analysis to larger data sets can cause runtime and memory overflow problems. While deterministic or hard clustering assigns a data object to a unique cluster, fuzzy clustering distributes the membership of a data object over different clusters. In standard fuzzy clustering, membership degrees will (almost) never become zero, so that all data objects are assigned to − even with very small membership degrees − all clusters. As a consequence, this does not only demand higher computational and memory power, it also leads to the undesired effect that all data objects will always influence all clusters, no matter how far away they are from a cluster. New approaches, modifying the idea of the fuzzifier, have been developed to avoid the problem of nonzero membership degrees for all data and clusters. In this paper, these ideas will be combined with concepts of speeding up fuzzy clustering by a suitable data organization, so that fuzzy clustering can be applied more efficiently to larger data sets.

Document Type:Book Section
Additional Information:Dies ist eine wissenschaftliche Veröffentlichung im Bereich Datenanalyse und Struktursuche in großen Datensätzen.
Title:Fuzzy Cluster Analysis of Larger Data Sets
AuthorsInstitution or Email of Authors
Winkler, Rolandroland.winkler@dlr.de
Klawonn, Frankf.klawonn@fh-wolfenbuettel.de
Höppner, Frankf.hoeppner@fh-wolfenbuettel.de
Kruse, Rudolfkruse@iws.cs.uni-magdeburg.de
Date:1 October 2009
Journal or Publication Title:Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design
Refereed publication:Yes
In ISI Web of Science:Yes
Page Range:pp. 302-331
Publisher:IGI Global
Keywords:Fuzzy Clustering, Fuzzifier Function, Hierarchical Data Structure, large Data Sets, Runtime Complexity
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Aeronautics
HGF - Program Themes:L SF - Safe and Efficient Air Traffic Guidance (old)
DLR - Research area:Aeronautics
DLR - Program:L FT - Flugführungstechnologien
DLR - Research theme (Project):L - Effiziente Flugführung und Flugbetrieb (old)
Location: Braunschweig
Institutes and Institutions:Institute of Flight Control > Air traffic systems
Deposited By: Roland Winkler
Deposited On:19 Apr 2010 15:26
Last Modified:19 Apr 2010 15:26

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