Affinity Propagation: Clustering Data by Passing Messages
Clustering data by identifying a subset of representative examples is important for detecting patterns in data and in processing sensory signals. Such "exemplars" can be found by randomly choosing an initial subset of data points as exemplars and then iteratively refining it, but this work...
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| Language: | en_ca |
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2009
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| Online Access: | http://hdl.handle.net/1807/17755 |