Dimensionality reduction for interactive data visualization via a Geo-Desic approach
Jose Alejandro Salazar-Castro, D. F. Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Paúl D. Rosero-Montalvo, Mauricio Domínguez-Limaico, Juan Carlos Alvarado‐Pérez, Roberto Therón · 2016
This work presents a dimensionality reduction (DR) framework that enables users to perform either the selection or mixture of DR methods by means of an interactive model, here named Geo-Desic approach. Such a model consists of linear combination of kernel-based representations of DR methods, wherein the corresponding coefficients are related to coordinated latitude and longitude inside of the world map. By incorporating the Geo-Desic approach within an interface, the combination may be made easily and intuitively by users -even non-expert ones- fulfilling their criteria and needs, by just picking up points from the map. Experimental results demonstrates the usability and ability of DR methods representation of proposed approach.