Rehm, Frank and Winkler, Roland and Kruse, Rudolf (2010) Fuzzy Clustering with Repulsive Prototypes. In: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design Information Science Reference. pp. 332-345. ISBN 1605668303.
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A well known issue with prototype-based clustering is the user's obligation to know the right number of clusters in a dataset in advance or to determine it as a part of the data analysis process. There are different approaches to cope with this non-trivial problem. This paper follows the approach to address this problem as an integrated part of the clustering process. An extension to repulsive fuzzy c-means clustering is proposed equipping non-Euclidean prototypes with repulsive properties. Experimental results are presented that demonstrate the feasibility of our technique.
|Document Type:||Contribution to a Collection|
|Title:||Fuzzy Clustering with Repulsive Prototypes|
|Journal or Publication Title:||Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design|
|In ISI Web of Science:||No|
|Page Range:||pp. 332-345|
|Publisher:||Information Science Reference|
|Keywords:||Fuzzy Clustering, Prototype|
|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 SF - Safe and Efficient Air Traffic Guidance|
|DLR - Research theme (Project):||L - Air Traffic and Weather (old)|
|Institutes and Institutions:||Institute of Flight Control > Air traffic systems|
|Deposited By:||Dr.-Ing. Frank Rehm|
|Deposited On:||14 Dec 2010 12:40|
|Last Modified:||14 Dec 2010 12:40|
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