/MTSAnoExperience

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series

Primary LanguagePython

MTS Anomaly Detection Experience Report

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series.

We tested the performance of 8 unsupervised anomaly detection algorithms on 6 public datasets and 2 private datasets, and conducted a large number of experiments. In this repository, we have open-sourced the 8 algorithms we used and our own developed visualization tools for data analysis.