caa a22 4500 465750206 CHVBK 20180323111832.0 cr unu---uuuuu 170327e19900301xx s 000 0 eng 10.1007/BF01889706 doi (NATIONALLICENCE)springer-10.1007/BF01889706 Cross-sectional approach for clustering time varying data [Elektronische Daten] [Katarina Košmelj, Vladimir Batagelj] 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. Springer-Verlag New York Inc, 1990 Generalized Ward clustering problem nationallicence Relocation clustering procedure nationallicence Time dimension nationallicence Dissimilarity between trajectories nationallicence Compound interest model nationallicence Košmelj Katarina Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 61 111, Ljubljana, Yugoslavia aut Batagelj Vladimir Department of Mathematics, University of Ljubljana, Jadranska 19, 61 111, Ljubljana, Yugoslavia aut Journal of Classification Springer-Verlag 7/1(1990-03-01), 99-109 0176-4268 7:1<99 1990 7 357 https://doi.org/10.1007/BF01889706 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01889706 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Košmelj Katarina Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 61 111, Ljubljana, Yugoslavia aut NATIONALLICENCE 700 1- Batagelj Vladimir Department of Mathematics, University of Ljubljana, Jadranska 19, 61 111, Ljubljana, Yugoslavia aut NATIONALLICENCE 773 0- Journal of Classification Springer-Verlag 7/1(1990-03-01), 99-109 0176-4268 7:1<99 1990 7 357 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer