Analysis of AneuRisk65 data: K-mean Alignment
Keywords
Statistical learning
Code:
45/2013
Title:
Analysis of AneuRisk65 data: K-mean Alignment
Date:
Tuesday 8th October 2013
Author(s):
Sangalli, L.M.; Secchi, P.; Vantini, S.
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Abstract:
We describe the k-mean alignment procedure, for the joint alignment and clustering of functional data and we apply it to the analysis of
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 di fferent cerebral districts and identifying diff erent morphological shapes of Inner Carotid Arteries, unveiling a strong association between vessel morphologies and the aneurysmal pathology.
This report, or a modified version of it, has been also submitted to, or published on
Laura M. Sangalli, Piercesare Secchi, Simone Vantini (2014), Analysis of AneuRisk65 data: K-mean Alignment, Electronic Journal of Statistics, Special Section on "Statistics of Time Warpings and Phase Variations", Vol. 8, No. 2, 1891-1904.
Laura M. Sangalli, Piercesare Secchi, Simone Vantini (2014), Analysis of AneuRisk65 data: K-mean Alignment, Electronic Journal of Statistics, Special Section on "Statistics of Time Warpings and Phase Variations", Vol. 8, No. 2, 1891-1904.