ForClu automatically arranges contents seized from a suspect’s device into meaningful clusters. It analyses data, (e.g. images), using Unsupervised Machine Learning, generating mathematical “concepts” of the pictures. Those concepts are used in arranging them into clusters, which solely depend on the input data. For example all pictures of cars, which are then further divided into sub-categories (sedans, vans, SUVs,…).
ForClu can be used as a standalone toolkit, but integration into LEAP or into existing forensic toolkits is also evaluated.