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: Publication
Language: English
Place of publication: Zentrum für Europäische Wirtschaftsforschung (ZEW) Mannheim 01.01.2011
Data of publication: 2011-01-01
Classification Codes:

Dewey Decimal Classification: 330
Discipline: Economics
Online Access: available in Bonn?
Database: OpenAIRE (Open Access)
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