Towards enhancing unsupervised anomaly detection by improving complexity, dimensionality and class-boundary properties
Any observation that follows a pattern other than the expected one, i.e., the normal behaviour, is considered abnormal behaviour (also known as an anomaly). Abnormal behaviour is witnessed in various areas— for instance, a previously unseen high temperature during winter in a naturally cold environm...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2022
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| Online Access: | https://eprints.nottingham.ac.uk/67116/ |