An alternative data-driven approach has been suggested for anomaly detection by Takehisa Yairi and collaborators (Yairi et al.). The process takes into account five characteristics of telemetry data: High dimensionality, multimodality, heterogeneity, temporal dependence, missing data and trivial outliers