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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...
Autores principales: | Tzeng, ShengLi, Hennig, Christian, Li, Yu-Fen, Lin, Chien-Ju |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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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 |
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