Cluster and Discriminant Analysis on Time-Series as a Research Tool

This paper presents a procedure for studying industrial performance and related issues such as changes in the wage structure. This procedure combines cluster analysis and discriminant analysis as a package, and applies this package to time series data. This enables us to organize industrial data into groups with similar wage or performance histories and then to extract summary time-series showing the main pattern of variation in performance between groups

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Year of publication:	2011
Authors:	Galbraith, James K. ; Lu, Jack
Publisher:	[S.l.] : SSRN
Subject:	Clusteranalyse \| Cluster analysis \| Zeitreihenanalyse \| Time series analysis \| Theorie \| Theory \| Diskriminanzanalyse \| Discriminant analysis \| Regionales Cluster \| Regional cluster

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