Fuzzy and crisp clustering methods based on the neighborhood concept: A comprehensive review

Authors:
Gözde Ulutagay;Efendi Nasibov
Affiliations:
Department of Industrial Engineering, Izmir University, Izmir, Turkey;Department of Computer Science, Dokuz Eylül University, Izmir, Turkey and Institute of Cybernetics, Azerbaijan National Academy of Sciences, Baku, Azerbaijan
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
Year:
2012

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Abstract

The aim of this paper has twofold: i to explore the fundamental concepts and methods of neighborhood-based cluster analysis with its roots in statistics and decision theory, ii to provide a compact tool for researchers. Since DBSCAN is the first method which uses the concept of neighborhood and it has many successors, we started our discussion by exploring it. Then we compared some of the successors of DBSCAN algorithm and other crisp and fuzzy methods on the basis of neighborhood strategy.