期刊
COMPUTATIONAL STATISTICS & DATA ANALYSIS
卷 54, 期 5, 页码 1219-1233出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.csda.2009.12.008
关键词
Functional data analysis; Curve alignment; Curve clustering; k-mean algorithm
资金
- Ministero dell'Istruzione dell'Universita e della Ricerca
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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