CROSS-SECTIONAL APPROACH FOR CLUSTERING TIME-VARYING DATA

被引：44

作者：

KOSMELJ, K ^{[1
]}

BATAGELJ, V ^{[1
]}

机构：

[1] EDVARD KARDELJ UNIV,DEPT MATH,YU-61111 LJUBLJANA,YUGOSLAVIA

来源：

JOURNAL OF CLASSIFICATION | 1990年 / 7卷 / 01期

关键词：

Compound interest model; Dissimilarity between trajectories; Generalized Ward clustering problem; Relocation clustering procedure; Time dimension;

D O I：

10.1007/BF01889706

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

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. © 1990 Springer-Verlag New York Inc.

引用

页码：99 / 109

页数：11

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