Journal
COMPUTATIONAL STATISTICS & DATA ANALYSIS
Volume 54, Issue 5, Pages 1219-1233Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2009.12.008
Keywords
Functional data analysis; Curve alignment; Curve clustering; k-mean algorithm
Funding
- Ministero dell'Istruzione dell'Universita e della Ricerca
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The problem of curve clustering when curves are misaligned is considered. A novel algorithm is described, which jointly clusters and aligns curves. The proposed procedure efficiently decouples amplitude and phase variability; in particular, it is able to detect amplitude clusters while simultaneously disclosing clustering structures in the phase, pointing out features that can neither be captured by simple curve clustering nor by simple curve alignment. The procedure is illustrated via simulation studies and applications to real data. (C) 2010 Elsevier B.V. All rights reserved.
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