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An Exploratory Analysis of Multiple Multivariate Time Series

Abstract : Our aim is to extend standard principal component analysis for non-time series data to explore and highlight the main structure of multiple sets of multivariate time series. To this end, standard variance- covariance matrices are generalized to lagged cross-autocorrelation ma- trices. The methodology produces principal component time series, which can be analysed in the usual way on a principal component plot, except that the plot also includes time as an additional dimension.
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Contributor : Ahlame Douzal Connect in order to contact the contributor
Submitted on : Friday, October 2, 2015 - 3:26:25 PM
Last modification on : Thursday, October 21, 2021 - 3:47:01 AM


  • HAL Id : hal-01208416, version 1



Lynne Billard, Ahlame Douzal-Chouakria, Yaser Seyed. An Exploratory Analysis of Multiple Multivariate Time Series. ECML-PKDD, Sep 2015, Porto, Portugal. ⟨hal-01208416⟩



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