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 ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Robust estimation and outlier detection play a critical role in modern data analysis, particularly when dealing with high-dimensional datasets. In such contexts, classical statistical methods ...

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 ...