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Unsupervised Consensus Clustering of Acoustic Emission Time-Series for Robust Damage Sequence Estimation in Composites.
Emmanuel Ramasso
Vincent Placet
Mohamed Lamine Boubakar
Published in:
IEEE Trans. Instrum. Meas. (2015)
Keyphrases
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acoustic emission
condition monitoring
consensus clustering
clustering ensemble
unsupervised classification
combining multiple clusterings
decision trees
combining multiple
information retrieval
multiresolution
unsupervised learning
missing values