The OPVID algorithm combines aspects of these two state-of-the-art outlier detection techniques by assigning an outlier probability that is computed via the local (continuous) Intrinsic Dimension (ID) of each point. This allows us to combine feature
vectors of multiple correlated parameters to help detect anomalies that might only be visible when considering the multiple telemetry parameters simultaneously.