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
Main Author: Dlugosz, Stephan
Format: Paper
Language: English
Place of publication: Mannheim ZEW, Zentrum für Europäische Wirtschaftsforschung 2011
Data of publication: 2011
Series: Discussion paper
Online Access: available in Bonn?
Database: ECONIS
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