A NOTE ON WEIGHTED FUZZY K-MEANS CLUSTERING FOR CONCEPT DECOMPOSITION
From MaRDI portal
Publication:3012761
DOI10.1080/01969722.2010.500861zbMath1230.62084OpenAlexW2109232799MaRDI QIDQ3012761
No author found.
Publication date: 6 July 2011
Published in: Cybernetics and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01969722.2010.500861
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)
Related Items
Comparison of reduction in formal decision contexts ⋮ A comprehensive survey on formal concept analysis, its research trends and applications ⋮ Medical diagnoses using three-way fuzzy concept lattice and their Euclidean distance ⋮ A Method for Reduction of Fuzzy Relation in Fuzzy Formal Context
Uses Software
Cites Work
- Data analysis with fuzzy clustering methods
- New modifications and applications of fuzzy \(C\)-means methodology
- Bootstrap methods: another look at the jackknife
- Feature weighting in \(k\)-means clustering
- Document clustering using nonnegative matrix factorization
- A NEW FUZZY-DATA MINING METHOD FOR PATTERN CLASSIFICATION BY PRINCIPAL COMPONENT ANALYSIS
- Matrices, Vector Spaces, and Information Retrieval
- Concept decompositions for large sparse text data using clustering