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SUMMARY:Model-based cluster analysis for structured data - Sabine Landau\,
  Institute of Psychiatry\, Kings College London
DTSTART:20100628T133000Z
DTEND:20100628T143000Z
UID:TALK25344@talks.cam.ac.uk
CONTACT:Michael Sweeting
DESCRIPTION:Cluster analysis is concerned with allocating subjects to unkn
 own groups or subpopulations. Often the data that are subject to clusterin
 g are structured in that they consist of multiple measures taken on the sc
 ale and referenced by time (longitudinal data)\, condition (repeated measu
 res data) or underlying concept (factor models). In this talk I will intro
 duce model-based clustering approaches suitable for such structured data. 
 In particular I will introduce a mixture of factor analyzers model and gro
 wth mixture modelling and demonstrate these approaches by some literature 
 examples.  
LOCATION:Large Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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