Clustering life trajectories: A new divisive hierarchical clustering algorithm for discrete-valued discrete time series

A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses are represented as sequences on a monthly timescale for the working-life with an age span from 16-65. A meaningful clustering result for this kind of data provides interesting subgr...

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Bibliographic details
Volume: 11-015
Main Author: Dlugosz, Stephan
Format: Paper
Language: English
Place of publication: Mannheim Zentrum für Europäische Wirtschaftsforschung (ZEW) 2011
published in: ZEW Discussion Papers Vol. 11-015
Data of publication: 2011
Online Access: Fulltext
Database: EconStor
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