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Unsupervised training of Bayesian networks for data clustering
Duc Pham
, GA Ruz
Mechanical Engineering
Research output
:
Contribution to journal
›
Article
24
Citations (Scopus)
Overview
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Dive into the research topics of 'Unsupervised training of Bayesian networks for data clustering'. Together they form a unique fingerprint.
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Weight
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Mathematics
Data Clustering
100%
Bayesian Networks
83%
Training
70%
Expectation-maximization Algorithm
59%
Classifier
56%
Clustering
47%
K-means
46%
Wood
41%
Naive Bayes
26%
Structure Learning
25%
Classification Algorithm
23%
Clustering Algorithm
22%
Model
21%
Image Processing
18%
Benchmark
16%
Attribute
16%
Learning
15%
Maximum Likelihood
14%
Performance
9%
Framework
9%
Physics & Astronomy
classifiers
67%
education
65%
learning
36%
image processing
16%
performance
7%
Engineering & Materials Science
Bayesian networks
68%
Classifiers
35%
Wood
30%
Maximum likelihood
15%
Clustering algorithms
15%
Image processing
13%