A robust algorithm for solution of the fuzzy clustering problem on the basis of the fuzzy joint points method

A robust algorithm for solution of the fuzzy clustering problem on the basis of the fuzzy joint points method

The approach called the method of Fuzzy Joint Points (FJP) is considered in which the fuzziness of clusterization lies in the detailedness of taking into account properties of elements in forming sets of similar elements. Based on this approach, a new robust variant of the FJP algorithm is proposed....

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Veröffentlicht in:Cybernetics and systems analysis 2008, Vol.44 (1), p.7-17
1. Verfasser: Nasibov, E. N.
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Cluster analysis
Clustering
Control
Cybernetics
Fuzzy sets
Investigations
Mathematics
Mathematics and Statistics
Processor Architectures
Software Engineering/Programming and Operating Systems
Studies
Systems Theory
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description The approach called the method of Fuzzy Joint Points (FJP) is considered in which the fuzziness of clusterization lies in the detailedness of taking into account properties of elements in forming sets of similar elements. Based on this approach, a new robust variant of the FJP algorithm is proposed. The properties of this FJP algorithm are analyzed and a sufficient condition for the correct recognition of the hidden structure of clusters is proved.
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subjects Algorithms
Artificial Intelligence
Cluster analysis
Clustering
Control
Cybernetics
Fuzzy sets
Investigations
Mathematics
Mathematics and Statistics
Processor Architectures
Software Engineering/Programming and Operating Systems
Studies
Systems Theory
title A robust algorithm for solution of the fuzzy clustering problem on the basis of the fuzzy joint points method
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