PyNomaly: Anomaly detection using Local Outlier Probabilities (LoOP).
Valentino Constantinou · The Journal of Open Source Software · 2018
PyNomaly is a Python 3 implementation of LoOP (Local Outlier Probabilities) (Kriegel, Kröger, Schubert, & Zimek, 2009).LoOP is a local density based outlier detection method by Kriegel, Kröger, Schubert, and Zimek which provides outlier scores in the range of [0,1] that are directly interpretable as the probability of a sample being an outlier.PyNomaly also implements a modified approach to LoOP (Hamlet, Straub, Russell, & Kerlin, 2017), which may be used for applications involving streaming data or where rapid calculations may be necessary.