JET: Fast Estimation of Hierarchical Time Series Clustering
Clustering is an effective, unsupervised classification approach for time series analysis applications that suffer a natural lack of training data. One such application is the development of jet engines, which involves numerous test runs and failure detection processes. While effective data mining a...
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| Main Authors: | Phillip Wenig, Mathias Höfgen, Thorsten Papenbrock |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-07-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/68/1/37 |
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