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Bayesian models offer great flexibility for clustering applications---Bayesian nonparametrics can be used for modeling infinite mixtures, and hierarchical Bayesian models can be utilized for sharing clusters across multiple data sets.
Spectral k-way ratio cut partitioning
P. Chan, M. Schlag, and J. Zien · 1994
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Hierarchical priors and mixture models, with application in regression and density estimation
M. West, P. Müller, and M. D. Escobar · 1994
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Bayesian density estimation and inference using mixtures
M. D. Escobar and M. West · 1995
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Markov chain sampling methods for Dirichlet process mixture models
R. M. Neal · 2000
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Normalized cuts and image segmentation
J. Shi and J. Malik · 2000
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Gibbs sampling methods for stick-breaking priors
H. Ishwaran and L. F. James · 2001
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Spectral relaxation for k-means clustering
H. Zha, X. He, C. Ding, H. Simon, and M. Gu · 2001
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Iterative clustering of high dimensional text data augmented by local search
I. S. Dhillon, Y. Guan, and J. Kogan · 2002
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Latent Dirichlet allocation
D. Blei, A. Ng, and M. I. Jordan · 2003
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Multiclass spectral clustering
S. X. Yu and J. Shi · 2003
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Clustering with Bregman divergences
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh · 2005
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A Bayesian hierarchical model for learning natural scene categories
L. Fei-Fei and P. Perona · 2005
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Combinatorial Stochastic Processes
J. Pitman · 2006
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Photo tourism: Exploring photo collections in 3D
N. Snavely, S. Seitz, and R. Szeliski · 2006
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Hierarchical Dirichlet processes
Y. W. Teh, M. I. Jordan, M. J. Beal, and D. M. Blei · 2006
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Weighted graph cuts without eigenvectors: A multilevel approach
I. S. Dhillon, Y. Guan, and B. Kulis · 2007
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Bayesian k-means as a “Maximization-Expectation” algorithm
K. Kurihara and M. Welling · 2008
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Introduction to Information Retrieval
C. D. Manning, P. Raghavan, and H. Schütze · 2008
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Bayesian Nonparametrics: Principles and Practice
N. Hjort, C. Holmes, P. Mueller, and S. Walker · 2010
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