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A multi-stage semi-supervised improved deep embedded clustering (MS-SSIDEC) method for bearing fault diagnosis under the situation of insufficient labeled samples.
Tongda Sun
Gang Yu
Published in:
CoRR (2021)
Keyphrases
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multistage
fault diagnosis
semi supervised
clustering method
dynamic programming
neural network
bp neural network
pairwise
fuzzy logic
unsupervised learning
k means
data mining
machine learning
labeled data
metric learning
pairwise constraints