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SUMMARY:Clustering by Passing Messages Between Data Points - Philip Sterne
  (University of Cambridge)
DTSTART:20070723T100000Z
DTEND:20070723T110000Z
UID:TALK7690@talks.cam.ac.uk
CONTACT:Philip Sterne
DESCRIPTION:Clustering data by identifying a subset of representative exam
 ples is important for processing sensory signals and detecting patterns in
  data. Such "exemplars" can be found by randomly choosing an initial subse
 t of data points and then iteratively refining it\, but this only works we
 ll if that initial choice is close to a good solution. We describe a new m
 ethod called "affinity propagation\," which takes as input measures of sim
 ilarity between pairs of data points. Real-valued messages are exchanged b
 etween data points until a high-quality set of exemplars and corresponding
  clusters gradually emerges. \n\nAppeared in Science February 2007\nhttp:/
 /www.sciencemag.org/cgi/content/abstract/1136800v1\nby Brendan Frey and De
 lbert Dueck
LOCATION:TCM Seminar Room\, Cavendish Laboratory\, Department of Physics
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