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Gaussian mixture learning via adaptive hierarchical clustering
Jichuan Li, Arye Nehorai
Department of Electrical & Systems Engineering
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Computational and Systems Biology
DBBS - Neurosciences
DBBS - Biomedical Informatics and Data Science
Research output
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Contribution to journal
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Article
›
peer-review
16
Scopus citations
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Keyphrases
Gaussian Mixture
100%
Adaptive Clustering
100%
Mixture Learning
100%
Hierarchical Clustering
75%
Expectation-maximization Algorithm
50%
Sampling numbers
50%
Monte Carlo Method
25%
Computational Efficiency
25%
Signal Processing
25%
Numerical Examples
25%
Gaussian Mixture Model
25%
Distributed Particle Filter
25%
Adaptive Splitting
25%
Engineering
Gaussian Mixture
100%
Hierarchical Clustering
100%
Expectation Maximization Algorithm
50%
Initial Guess
50%
Filtration
25%
Computational Efficiency
25%
Numerical Example
25%
Gaussian Mixture Model
25%
Mathematics
Gaussian Distribution
100%
Hierarchical Clustering
100%
Expectation-Maximization Algorithm
50%
Initial Guess
50%
Monte Carlo
25%
Numerical Example
25%
Gaussian Mixture Model
25%
Signal Processing
25%
Computer Science
Hierarchical Clustering
100%
Gaussian Mixture
100%
Large Data Set
25%
Gaussian Mixture Model
25%
Computational Efficiency
25%
Numerical Example
25%