Clustering work and family trajectories by using a divisive algorithm

  title={Clustering work and family trajectories by using a divisive algorithm},
  author={Raffaella Piccarreta and Francesco C. Billari},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  • R. Piccarreta, F. Billari
  • Published 1 October 2007
  • Computer Science
  • Journal of the Royal Statistical Society: Series A (Statistics in Society)
Summary.  We present an approach to the construction of clusters of life course trajectories and use it to obtain ideal types of trajectories that can be interpreted and analysed meaningfully. We represent life courses as sequences on a monthly timescale and apply optimal matching analysis to compute dissimilarities between individuals. We introduce a new divisive clustering algorithm which has features that are in common with both Ward's agglomerative algorithm and classification and… 
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