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Dissimilarity for functional data clustering based on smoothing parameter commutation

Many studies measure the same type of information longitudinally on the same subject at multiple time points, and clustering of such functional data has many important applications. We propose a novel and easy method to implement dissimilarity measure for functional data clustering based on smoothin...

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Detalhes bibliográficos
Publicado no:Stat Methods Med Res
Main Authors: Tzeng, ShengLi, Hennig, Christian, Li, Yu-Fen, Lin, Chien-Ju
Formato: Artigo
Idioma:Inglês
Publicado em: SAGE Publications 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5723154/
https://ncbi.nlm.nih.gov/pubmed/28535712
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280217710050
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