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Bayesian exploratory clustering with entropy Chinese restaurant process
Chien-Liang Liu
, Wen Hoar Hsaio
*
, Che Yuan Lin
*
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工業工程與管理學系
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Engineering
Experimental Result
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Specifies
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Clustering Algorithm
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Observed Data
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Main Difference
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Group Data
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Natural Structure
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Chebyshev Inequality
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Gibbs Free Energy
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Probability Theory
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Mixture Model
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Chebyshev Inequality
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Finite Mixture Model
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Update Rule
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Gibbs Free Energy
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Keyphrases
Chinese Restaurant Process
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Hyperparameters
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Number of Clusters
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Cluster-based
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Dynamically Adjust
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Model Complexity
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Update Rule
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Clustering Algorithm
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Massive Datasets
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Mixture Model
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Process Use
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Cluster Performance
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Gibbs Sampling
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Collapsed Gibbs Sampling
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Posterior Inference
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Nonparametric Clustering
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Derivation Rules
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Finite Mixture Model
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Natural Structures
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Computer Science
Data Instance
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Data Exploration
66%
Base Distribution
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Leaning Parameter
66%
Experimental Result
33%
Model Complexity
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Sampling Algorithm
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Clustering Algorithm
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Massive Datasets
33%
Data Analytics
33%
Gibbs Free Energy
33%
Chemical Engineering
Gibbs Free Energy
100%