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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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Detalles Bibliográficos
Autores principales: Tzeng, ShengLi, Hennig, Christian, Li, Yu-Fen, Lin, Chien-Ju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723154/
https://www.ncbi.nlm.nih.gov/pubmed/28535712
http://dx.doi.org/10.1177/0962280217710050