The documentation for scikit-learn has some (but not a great deal of) documentation on novelty/outlier detection. A simple Python package for detecting anomalies, lsanomaly, is available on PyPI and ...

Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets.

A theoretical guarantee is given for the procedure to accurately detect the communities with small misclassification rate under the setting where the number of clusters can grow with N. This ...

Azadeh Alimadad, Matias Salibian-Barrera, An Outlier-Robust Fit for Generalized Additive Models With Applications to Disease Outbreak Detection, Journal of the American Statistical Association, Vol.