Clustering multivariate functional data with phase variation.
Biometrics
; 73(1): 324-333, 2017 03.
Article
em En
| MEDLINE
| ID: mdl-27218696
ABSTRACT
When functional data come as multiple curves per subject, characterizing the source of variations is not a trivial problem. The complexity of the problem goes deeper when there is phase variation in addition to amplitude variation. We consider clustering problem with multivariate functional data that have phase variations among the functional variables. We propose a conditional subject-specific warping framework in order to extract relevant features for clustering. Using multivariate growth curves of various parts of the body as a motivating example, we demonstrate the effectiveness of the proposed approach. The found clusters have individuals who show different relative growth patterns among different parts of the body.
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Base de dados:
MEDLINE
Assunto principal:
Análise por Conglomerados
/
Análise Multivariada
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Interpretação Estatística de Dados
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Crescimento e Desenvolvimento
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
Reino Unido