Mixtures of spatial spline regressions for clustering and classification

DOI10.1016/j.csda.2014.01.011zbMath1468.62148OpenAlexW1998189814MaRDI QIDQ1660190

Ian A. Wood, Geoffrey J. McLachlan, Hien Duy Nguyen

Publication date: 15 August 2018

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

Full work available at URL: https://doi.org/10.1016/j.csda.2014.01.011

zbMATH Keywords

classificationclusteringmixture modelfunctional dataspatial spline

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (5)

Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation ⋮ Online EM for functional data ⋮ Maximum likelihood estimation of triangular and polygonal distributions ⋮ Editorial: The third special issue on advances in mixture models ⋮ Online Bayesian learning for mixtures of spatial spline regressions with mixed effects

Uses Software

• R
• MASS (R)
• fda (R)
• e1071
• Imputation

Cites Work

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• Soap Film Smoothing
• Spatial Spline Regression Models

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