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Found 2 papers, 2 papers with code
CoMadOut -- A Robust Outlier Detection Algorithm based on CoMAD
Unsupervised learning methods are well established in the area of anomaly detection and achieve state of the art performances on outlier data sets.
Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferring the topological structure of a dataset before clustering it can considerably enhance cluster detection: theoretical arguments and empirical evidence show that clustering embedding vectors, representing the structure of a data manifold instead of the observed feature vectors themselves, is highly beneficial.
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