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This thesis work produces and evaluates a self learning algorithm that detects user access patterns in a Physical Access Control System (PACS). Self learning algorithms and pattern detection are both well researched areas with numerous methodologies. However, no one method can be used for all problems and this project focuses on hierarchical clustering for a particular problem where no solutions h
