A convex semi-nonnegative matrix factorisation approach to fuzzy \(c\)-means clustering

DOI10.1016/j.fss.2014.07.021zbMath1381.62195OpenAlexW2055796222MaRDI QIDQ1677633

Abdul Suleman

Publication date: 13 November 2017

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2014.07.021

zbMATH Keywords

principal component analysisfuzzy clusteringfuzzy \(c\)-meanssemi-nonnegative matrix factorisation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (3)

On ill-conceived initialization in archetypal analysis ⋮ A fuzzy clustering approach to evaluate individual competencies from REFLEX data ⋮ A novel identification method for Takagi-Sugeno fuzzy model

Uses Software

• Matlab
• UCI-ml
• Fuzzy Logic Toolbox
• Optimization Toolbox

Cites Work

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