Visualization of Single Clusters

Abstract

Evaluation of clustering partitions is a crucial step in data processing. A multitude of measures exists, which - unfortunately - give for one data set various results. In this paper we present a visualization technique to visualize single clusters of high-dimensional data. Our method maps a single cluster to the plane trying to preserve the membership degrees. The resulting scatter plot illustrates separation of the respecting cluster and the need of additional prototypes as well. Since clusters will be visualized individually, additional prototypes can be added locally where they are needed.