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Chen, Mo – ProQuest LLC, 2011
In this thesis, we establish a novel probabilistic framework for the data clustering problem from the perspective of Bayesian decision theory. The Bayesian decision theory view justifies the important questions: what is a cluster and what a clustering algorithm should optimize. We prove that the spectral clustering (to be specific, the…
Descriptors: Bayesian Statistics, Mathematics, Graphs, Nonparametric Statistics

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