A Comparison of Multivariate Time Series Clustering Methods

2020 ◽  
pp. 571-579
Author(s):  
Iago Vázquez ◽  
José Ramón Villar ◽  
Javier Sedano ◽  
Svetlana Simić
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Clustering Methods ◽  
Time Series Clustering

CSMVC: A Multiview Method for Multivariate Time-Series Clustering

2021 ◽  
pp. 1-13
Author(s):  
Guoliang He ◽  
Han Wang ◽  
Shenxiang Liu ◽  
Bo Zhang
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Time Series Clustering

scholarly journals Revisiting Climate Region Definitions via Clustering

2009 ◽  
Vol 22 (7) ◽  
pp. 1787-1800 ◽  
Author(s):  
Robert Lund ◽  
Bo Li
Keyword(s):  
Time Series ◽  
Clustering Methods ◽  
Distance Metric ◽  
Climatic Zones ◽  
Time Series Clustering ◽  
Climate Region ◽  
Covariate Effects ◽  
Weather Stations ◽  
Climatic Time Series ◽  
Natural Way

Abstract This paper introduces a new distance metric that enables the clustering of general climatic time series. Clustering methods have been frequently used to partition a domain of interest into distinct climatic zones. However, previous techniques have neglected the time series (autocorrelation) component and have also handled seasonal features in a suboptimal way. The distance proposed here incorporates the seasonal mean and autocorrelation structures of the series in a natural way; moreover, trends and covariate effects can be considered. As an important by-product, the methods can be used to statistically assess whether two stations can serve as reference stations for one another. The methods are illustrated by partitioning 292 weather stations within the state of Colorado into six different zones.

Multivariate Time Series Clustering and its Application in Industrial Systems

2019 ◽  
Vol 51 (3) ◽  
pp. 315-334
Author(s):  
Barış Gün Sürmeli ◽  
M. Borahan Tümer
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Time Series Clustering ◽  
Industrial Systems

An ensemble solution for multivariate time series clustering

2021 ◽  
Author(s):  
Iago Vázquez ◽  
José R. Villar ◽  
Javier Sedano ◽  
Svetlana Simić ◽  
Enrique la Cal
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Time Series Clustering
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