A Fast Weighted Fuzzy C-Medoids Clustering for Time Series Data Based on P-Splines

The rapid growth of digital information has produced massive amounts of time series data on rich features and most time series data are noisy and contain some outlier samples, which leads to a decline in the clustering effect. To efficiently discover the hidden statistical information about the data...

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Detalles Bibliográficos
Autores principales: Xu, Jiucheng, Hou, Qinchen, Qu, Kanglin, Sun, Yuanhao, Meng, Xiangru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414275/
https://www.ncbi.nlm.nih.gov/pubmed/36015930
http://dx.doi.org/10.3390/s22166163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414275/
https://www.ncbi.nlm.nih.gov/pubmed/36015930
http://dx.doi.org/10.3390/s22166163

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