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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| 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 |