most citedRandom Subspace Mixture Models for Interpretable Anomaly Detection

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2021★ 1 cited

Random Subspace Mixture Models for Interpretable Anomaly Detection

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. The approach is based on a statistica…

cs.SI2020

Novel Edge and Density Metrics for Link Cohesion

Cetin Savkli, Catherine Schwartz, Amanda Galante +1

We present a new metric of link cohesion for measuring the strength of edges in complex, highly connected graphs. Link cohesion accounts for local small hop connections and associa…