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Anomaly detection for blueberry data using sparse autoencoder-support vector machine
High-dimensional space includes many subspaces so that anomalies can be hidden in any of them, which leads to obvious difficulties in abnormality detection. Currently, most existing anomaly detection methods tend to measure distances between data points. Unfortunately, the distance between data poin...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280483/ https://www.ncbi.nlm.nih.gov/pubmed/37346526 http://dx.doi.org/10.7717/peerj-cs.1214 |