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Volumn 32, Issue 2, 2008, Pages 219-225
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A global k-means approach for autonomous cluster initialization of probabilistic neural network
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Author keywords
Condition monitoring; Global k means; Probabilistic neural network
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Indexed keywords
IMAGE CLASSIFICATION;
PROBABILITY;
TWO PHASE FLOW;
WATER PIPELINES;
CLUSTER INITIALIZATION;
COMPUTATIONAL TIME;
EXPECTATION MAXIMIZATION (EM);
K MEANS;
MEDICAL DATASETS;
NUMBER OF CLUSTERS;
PATTERN CLASSIFICATION PROBLEMS;
PROBABILISTIC NEURAL NETWORK (PRNN);
SELECTION CRITERION;
TRAINING ALGORITHMS;
TRIAL AND ERROR;
U.S. NAVY;
VIBRATION DATA;
NEURAL NETWORKS;
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EID: 48249092338
PISSN: 03505596
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (19)
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References (17)
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