\(k\)-mean alignment for curve clustering
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Publication:962378
DOI10.1016/j.csda.2009.12.008zbMath1464.62153OpenAlexW2045649740WikidataQ62109479 ScholiaQ62109479MaRDI QIDQ962378
Laura M. Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli
Publication date: 6 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2009.12.008
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Functional data analysis (62R10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Uses Software
Cites Work
- Unnamed Item
- Simultaneous curve registration and clustering for functional data
- Core shape modelling of a set of curves
- Impartial trimmed \(k\)-means for functional data
- Clustering functional data
- Curve alignment by moments
- Functional data analysis.
- Time-synchronized clustering of gene expression trajectories
- Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds
- Bayesian Hierarchical Curve Registration
- Curve Registration
- Semiparametric Nonlinear Mixed-Effects Models and Their Applications
- Self-modelling regression for longitudinal data with time-invariant covariates
- Self-Modelling Warping Functions
- Comparing the shapes of regression functions
- A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery
- Functional Nonparametric Statistics in Action
- Self Modeling Nonlinear Regression