Clustering with Workforce Auditor

This white paper introduces Workforce Auditor, included in Workforce Analytics, which uses a Big Data approach to workforce auditing. The approach uses k-means clustering, a well-known and robust unsupervised machine-learning technique for detecting patterns in multivariate data. These patterns can then be used as an entry point for auditors or other high-level users who want to understand typical behavior in their organization, find patterns of deviant behavior, and also uncover specific instances that contribute to these patterns.