A fuzzy SV-\(k\)-modes algorithm for clustering categorical data with set-valued attributes

DOI10.1016/j.amc.2016.09.023zbMath1411.62163OpenAlexW2531336713MaRDI QIDQ1734721

Fuyuan Cao, Joshua Zhexue Huang, J. Y. Liang

Publication date: 27 March 2019

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2016.09.023

zbMATH Keywords

categorical datafuzzy \(k\)-modesfuzzy SV-\(k\)-modesset-valued attributeset-valued modes

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Analysis of algorithms (68W40) Multivariate analysis and fuzziness (62H86)

Related Items (1)

A sequential ensemble clusterings generation algorithm for mixed data

Uses Software

• UCI-ml

Cites Work

• Analysis of parameter selections for fuzzy \(c\)-means
• K-means particle swarm optimization with embedded chaotic search for solving multidimensional problems
• A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
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