  We present Clusterplot, a multi-class high-dimensional data visualization
tool designed to visualize cluster-level information offering an intuitive
understanding of the cluster inter-relations. Our unique plots leverage 2D
blobs devised to convey the geometrical and topological characteristics of
clusters within the high-dimensional data, and their pairwise relations, such
that general inter-cluster behavior is easily interpretable in the plot. Class
identity supervision is utilized to drive the measuring of relations among
clusters in high-dimension, particularly, proximity and overlap, which are then
reflected spatially through the 2D blobs. We demonstrate the strength of our
clusterplots and their ability to deliver a clear and intuitive informative
exploration experience for high-dimensional clusters characterized by complex
structure and significant overlap.
