Hybrid Visualization: A New Approach to Display Instances Relationship and Attributes Behaviour in a Single View

Visualization techniques have been widely used in dataset exploration. A common strategy is to employ different techniques to facilitate the exploratory process, enabling different perspectives from the same dataset. In this case, a coordination mechanism aids the user in the context changing among different views. However, to keep track of the highlighted data elements among multiple views is an unclear task. To reach a better exploration by using distinct visualization techniques and graphical representations, some approaches have adopted the strategy of combining different techniques in a single view, creating a Hybrid Visualization which can avoid the use of coordination. This paper proposes a new Hybrid Visualization approach that integrates Multidimensional Projection and Parallel Coordinates to display the instances relationship and attributes behaviour in a single view. As presented in this paper, the applications of this approach enable a better feature space exploration, aiding users to understand why instances from the same or distinct classes are grouped.