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Model-based clustering with dissimilarities: A Bayesian approach
Man Suk Oh
, Adrian E. Raftery
Department of Statistics
Research output
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Contribution to journal
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Article
›
peer-review
32
Scopus citations
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Dive into the research topics of 'Model-based clustering with dissimilarities: A Bayesian approach'. Together they form a unique fingerprint.
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Computer Science
Models
100%
Bayesian Approach
100%
Clustering Result
66%
Configuration Object
66%
Simulation
33%
Dimension Reduction
33%
Normal Distribution
33%
Visual Inspection
33%
High Clustering
33%
Clustering Method
33%
Multidimensional Scaling
33%
Bayesian Model
33%
Dimensional Object
33%
markov chain monte-carlo
33%
Euclidean Distance
33%
Mathematics
Bayesian Approach
100%
Model-Based Clustering
100%
Bayesian
66%
Measures
33%
Number
33%
Bayesian Model
33%
Multivariate Normal Distribution
33%
Clustering Method
33%
Euclidean Space
33%
Markov Chain Monte Carlo
33%
Dimensional Object
33%
Euclidean Distance
33%
Psychology
Tools
33%
Measurement
33%
Markov Chain Monte Carlo
33%
Multidimensional Scaling
33%
Euclidean Distance
33%