Energy generalized LVQ with relevance factors

Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a weighted generalized LVQ algorithm, called energy generalized relevance LVQ (EGRLVQ), based on the Onicescu's informational energy. EGRLVQ is an incremental learning algorithm for supervised classification and feature ranking.