Open Access
2014 Analysis of AneuRisk65 data: $k$-mean alignment
Laura M. Sangalli, Piercesare Secchi, Simone Vantini
Electron. J. Statist. 8(2): 1891-1904 (2014). DOI: 10.1214/14-EJS938A


We describe the $k$-mean alignment procedure, for the joint alignment and clustering of functional data and we apply it to the analysis of the AneuRisk65 data. Thanks to the efficient separation of the variability in phase variability and within/between clusters amplitude variability, we are able to discriminate subjects having aneurysms in different cerebral districts and identifying different morphological shapes of Inner Carotid Arteries, unveiling a strong association between arteries morphologies and the aneurysmal pathology.


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Laura M. Sangalli. Piercesare Secchi. Simone Vantini. "Analysis of AneuRisk65 data: $k$-mean alignment." Electron. J. Statist. 8 (2) 1891 - 1904, 2014.


Published: 2014
First available in Project Euclid: 29 October 2014

zbMATH: 1305.62377
MathSciNet: MR3273609
Digital Object Identifier: 10.1214/14-EJS938A

Keywords: $k$-mean alignment , AneuRisk65 data , functional clustering , registration

Rights: Copyright © 2014 The Institute of Mathematical Statistics and the Bernoulli Society

Vol.8 • No. 2 • 2014
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