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A k-means method for trends of time series: An application to time series of COVID-19 cases in Japan
A k-means method style clustering algorithm is proposed for trends of multivariate time series. The usual k-means method is based on distances or dissimilarity measures among multivariate data and centroids of clusters. Some similarity or dissimilarity measures are also available for multivariate ti...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Nature Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892829/ https://www.ncbi.nlm.nih.gov/pubmed/35425885 http://dx.doi.org/10.1007/s42081-022-00148-0 |