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For questions related to anomaly detection (or outlier detection) algorithms, which is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. There are unsupervised, supervised and semi-supervised anomaly detection algorithms.
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Which unsupervised anomaly detection algorithms are there?
If you are OK to use python, thy novelty-detection with sklearn:
https://scikit-learn.org/stable/modules/outlier_detection.html