An evolutionary agents based system for data mining and local metric learning
Discovering regularities in Big Data is nowadays a crucial task in many different applications, from bioinformatics to cybersecurity. To this aim, a promising approach consists in performing data clustering with Local Metric Learning, i.e. trying to discover well-formed (compact and populated) clusters and, at the same time, a suitable subset of features corresponding to the subspace where each cluster lies.