Unsupervised learning on U.S. weather forecast performance

DOI10.1007/s00180-023-01340-wOpenAlexW4327967133MaRDI QIDQ6178871

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Publication date: 5 September 2023

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-023-01340-w

zbMATH Keywords

functional principal component analysis\(K\)-means clusteringweather forecastdiscriminative functional mixture modelFunFEM model-based clustering

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (1)

The 2018 \textit{data challenge expo} of the American statistical association

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Clustering multivariate functional data in group-specific functional subspaces
• The discriminative functional mixture model for a comparative analysis of bike sharing systems
• Structure identification in panel data analysis
• Nonparametric curve estimation from time series
• Estimating the dimension of a model
• Nonparametric statistics for stochastic processes
• Smoothed functional principal components analysis by choice of norm
• Functional data clustering: a survey
• Functional data analysis.
• On Polya frequency functions. IV: The fundamental spline functions and their limits
• Autoregressive Forecasting of Some Functional Climatic Variations
• Functional Data Analysis with R and MATLAB
• Unsupervised Curve Clustering using B‐Splines
• Clustering for Sparsely Sampled Functional Data

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