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Cross-sectional approach for clustering time varying data

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Abstract

Cluster analysis is to be performed on a three-mode data matrix of type: units, variables, time. A general model for calculating the distance between two units varying in time is proposed. One particular model is developed and used in an example concerned with clustering of 23 European countries according to the similarity of energy consumption in the years 1976–1982.

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Authors and Affiliations

  1. Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 61 111, Ljubljana, Yugoslavia

    Katarina Košmelj

  2. Department of Mathematics, University of Ljubljana, Jadranska 19, 61 111, Ljubljana, Yugoslavia

    Vladimir Batagelj

Authors
  1. Katarina Košmelj
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  2. Vladimir Batagelj
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Additional information

Supported in part by the Research Council of Slovenia, Yugoslavia.

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Košmelj, K., Batagelj, V. Cross-sectional approach for clustering time varying data. Journal of Classification 7, 99–109 (1990). https://doi.org/10.1007/BF01889706

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  • DOI: https://doi.org/10.1007/BF01889706

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