Abstract
This research project aims to perform an Interactive Visual Analysis of data embedded on high-dimensional feature-spaces. The main goal of this project is to enable the user with interactive resources towards facilitating the metric learning process. The proposed methodology relies on the pre-imageand kernel theory supported by visualization resources. (AU)