Incremental fuzzy C medoids clustering of time series data using dynamic time warping distance

Clustering time series data is of great significance since it could extract meaningful statistics and other characteristics. Especially in biomedical engineering, outstanding clustering algorithms for time series may help improve the health level of people. Considering data scale and time shifts of...

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Detalles Bibliográficos
Autores principales: Liu, Yongli, Chen, Jingli, Wu, Shuai, Liu, Zhizhong, Chao, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967819/
https://www.ncbi.nlm.nih.gov/pubmed/29795600
http://dx.doi.org/10.1371/journal.pone.0197499

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967819/
https://www.ncbi.nlm.nih.gov/pubmed/29795600
http://dx.doi.org/10.1371/journal.pone.0197499

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