Random Subspace Mixture Models for Interpretable Anomaly Detection

no code implementations • 13 Aug 2021 • Cetin Savkli, Catherine Schwartz

We present a new subspace-based method to construct probabilistic models for high-dimensional data and highlight its use in anomaly detection.

Anomaly Detection Attribute

Novel Edge and Density Metrics for Link Cohesion

no code implementations • 6 Mar 2020 • Cetin Savkli, Catherine Schwartz, Amanda Galante, Jonathan Cohen

We present a new metric of link cohesion for measuring the strength of edges in complex, highly connected graphs.

Community Detection