Simultaneous Interaction with Dimension Reduction and Clustering Projections

Direct manipulation interactions on projections are often incorporated in visual analytics applications. These interactions enable analysts to provide feedback to the system, demonstrating relationships that the analyst wishes to find within the projection. However, determining the precise intent of the analyst is a challenge; when an analyst interacts with a projection, the system could infer a variety of possible interpretations. In this work, we explore interaction design considerations for the simultaneous use of dimension reduction and clustering algorithms to address this challenge.