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Multivariate functional clustering for the morphological analysis of electrocardiograph curves

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Publication:6638956
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DOI10.1111/j.1467-9876.2012.01062.xMaRDI QIDQ6638956

Anna Maria Paganoni, Francesca Ieva, Davide Pigoli, Valeria Vitelli

Publication date: 14 November 2024

Published in: Journal of the Royal Statistical Society. Series C. Applied Statistics (Search for Journal in Brave)




zbMATH Keywords

functional registrationelectrocardiograph signalfunctional \(k\)-means clusteringwavelets smoothing


Mathematics Subject Classification ID

Applications of statistics (62Pxx)



Related Items (5)

Sparse and smooth functional data clustering ⋮ Modeling the evolution of deaths from infectious diseases with functional data models: the case of COVID-19 in Brazil ⋮ Multivariate functional data clustering using adaptive density peak detection ⋮ Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiograph signals ⋮ Functional data analysis: an introduction and recent developments






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