Approximating a similarity matrix by a latent class model: a reappraisal of additive fuzzy clustering

DOI10.1016/j.csda.2008.10.004zbMath1453.62053DBLPjournals/csda/BraakKKB09OpenAlexW2098855318WikidataQ59049063 ScholiaQ59049063MaRDI QIDQ961768

Marco C. A. M. Bink, Henk A. L. Kiers, Yiannis Kourmpetis, Cajo J. F. ter Braak

Publication date: 1 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://library.wur.nl/WebQuery/wurpubs/387740

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (4)

NN-EVCLUS: neural network-based evidential clustering ⋮ Editorial: Special issue on correspondence analysis and related methods ⋮ Calibrated model-based evidential clustering using bootstrapping ⋮ FINDCLUS: fuzzy individual differences clustering

Uses Software

• P-FCM

Cites Work

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• P-FCM: a proximity-based fuzzy clustering
• On reduced rank nonnegative matrix factorization for symmetric nonnegative matrices
• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Differential evolution. In search of solutions.
• Relational duals of the c-means clustering algorithms
• A least squares algorithm for a mixture model for compositional data.
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Fuzzy clustering models and applications
• Asymmetric aggregation operator and its application to fuzzy clustering model
• A simple method for generating additive clustering models with limited complexity
• Principal component analysis.
• Modern multidimensional scaling. Theory and applications.
• Archetypal Analysis
• Estimation and Prediction for Stochastic Blockstructures
• Latent Space Approaches to Social Network Analysis
• Finite mixture models
• STRUCTURAL MODEL OF SIMILARITY FOR FUZZY CLUSTERING
• Learning the parts of objects by non-negative matrix factorization
• Bilinear Mixed-Effects Models for Dyadic Data

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