Visualization is an essential aspect during a knowledge discovery process, since it provides the user with information which cannot be easily identified just by looking at raw numbers. The SG++ Datamining Pipeline is a component of the SG++ Toolbox used to generate such data mining models by utilizing sparse grids methods. Until recently, there was no way the end user could visualize these models and therefore a new visualization module was implemented. In this report, a description of these new implemented module will be given, explaining the approach taken when handling data on higher dimensions. Additionally, some visual results will be shown for density estimation and classification models for high dimensional data sets.     «

Visualization is an essential aspect during a knowledge discovery process, since it provides the user with information which cannot be easily identified just by looking at raw numbers. The SG++ Datamining Pipeline is a component of the SG++ Toolbox used to generate such data mining models by utilizing sparse grids methods. Until recently, there was no way the end user could visualize these models and therefore a new visualization module was implemented. In this report, a description of these new...     »