On the use of divergence distance in fuzzy clustering

DOI10.1007/s10700-008-9028-zzbMath1167.62059OpenAlexW2052346124MaRDI QIDQ1028708

J. Blot

Publication date: 6 July 2009

Published in: Fuzzy Optimization and Decision Making (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10700-008-9028-z

zbMATH Keywords

fuzzy clusteringfeature space

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Mathematical programming (90C99)

Related Items (2)

On the convergence of some possibilistic clustering algorithms ⋮ Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures

Cites Work

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• Local convergence analysis of a grouped variable version of coordinate descent
• Agglomerative clustering using the concept of mutual nearest neighbourhood
• Interactive clustering and merging with a new fuzzy expected value
• FUZZY SHELL-CLUSTERING AND APPLICATIONS TO CIRCLE DETECTION IN DIGITAL IMAGES
• A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
• Detection and Characterization of Cluster Substructure I. Linear Structure: Fuzzy c-Lines
• Interaction in multidimensional contingency tables: an information theoretic approach
• Generalized Minkowski metrics for mixed feature-type data analysis
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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