A Generalization of the k-Means Method for Trends of Time Series

Norio Watanabe ()
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Norio Watanabe: Chuo University, Department of Data Science for Business Innovation

Chapter Chapter 6 in Quantitative Methods and Data Analysis in Applied Demography - Volume 2, 2025, pp 51-63 from Springer

Abstract: Abstract The clustering is one of important methods in multivariate analysis. The clustering of time series is also important and several clustering methods are available. Recently, a k-means type method was proposed for trends of time series. In this method each object for clustering consists of univariate time series. In this study, a generalization of this method is proposed for the case where each object consists of multivariate time series. The applicability of the proposed method is examined by simulation studies. Moreover the clustering of time series on COVID-19 cases is considered by applying the proposed method.

Keywords: k-means method; Common trend; Multivariate time series; COVID-19 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-031-82279-7_6

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DOI: 10.1007/978-3-031-82279-7_6

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