A General Probabilistic Framework for Clustering Individuals

  title={A General Probabilistic Framework for Clustering Individuals},
  author={Igor V. Cadez and Scott Ga and Padhraic Smyth},
This paper presents a unifying probabilistic framework for clustering individuals or systems into groups when the available data measurements are not multivariate vectors of xed dimensionality. For example, one might have data from a set of medical patients, where for each patient one has di erent numbers of time-series observations, each time-series of di erent lengths. We propose a general model-based framework for clustering heterogeneous data types of this form. We discuss a general… CONTINUE READING
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  • C. S. Poulsen
  • 1990
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  • M. Wedel, W. A. Kamakura
  • 1998

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  • P. Haccou, E. Meelis
  • 1992
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  • M. Wedel, J. B. Steenkamp
  • 1991
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