Clustering A Repository Based On User Behavioral Data

This document describes techniques by which users and files of a repository are accurately correlated into clusters. These clusters often indicate particular projects, as users are correlated with the projects on which they collaborate. By clustering these users and files, the techniques enable access control that permits both collaboration and excellent security. The techniques also enable determination of data loss, security vulnerabilities, job functions, project scope, and multiple-repository correlations.