Bayesian cluster validation
We propose a novel framework based on Bayesian principles for validating clusterings and present efficient algorithms for use with centroid or exemplar based clustering solutions. Our framework treats the data as fixed and introduces perturbations into the clustering procedure. In our algorithms,...
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| Format: | Others |
| Language: | English |
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University of British Columbia
2008
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| Online Access: | http://hdl.handle.net/2429/1496 |