Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers

DOI10.1016/j.ijar.2018.01.001zbMath1450.62075OpenAlexW2790919950MaRDI QIDQ1748531

Francesca Greselin, Agustín Mayo-Iscar, Luis Angel García-Escudero

Publication date: 11 May 2018

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: http://uvadoc.uva.es/handle/10324/38794

zbMATH Keywords

dimension reductionfuzzy clusteringunsupervised learningfactor analysisrobust clusteringhard contrastoutliers identification

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistics of extreme values; tail inference (62G32) Learning and adaptive systems in artificial intelligence (68T05) Multivariate analysis and fuzziness (62H86)

Related Items (2)

Fuzzy clustering of time series with time-varying memory ⋮ Cluster analysis with cellwise trimming and applications for the robust clustering of curves

Uses Software

• TCLUST

Cites Work

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