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SUMMARY:Spectral Clustering - Arik Azran\,  Machine Learning Group
DTSTART:20071025T150000Z
DTEND:20071025T170000Z
UID:TALK8210@talks.cam.ac.uk
CONTACT:Shaomian Deng
DESCRIPTION:Spectral clustering is a technique for finding group structure
  in data. It is based on viewing the data points as nodes of a connected g
 raph and clusters are found by partitioning this graph\, based on its spec
 tral decomposition\, into subgraphs that posses some desirable properties.
  My plan for this talk is to give a review of the main spectral clustering
  algorithms\, demonstrate their abilities and limitations and offer some i
 nsight into when the method can be expected to be successful. No previous 
 knowledge is assumed\, and anyone who is interested in clustering (or fun 
 applications of linear algebra) might find this talk interesting.\n
LOCATION:LR4\, Engineering\, Department of
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