Summary

StarClass: Interactive Visual Classification Using Star Coordinates

Authors:

Soon Tee Teoh and Kwan-Liu Ma, University of California, Davis

Abstract

Classification operations in a data-mining task are often performed using decision trees. The visual-based approach to decision tree construction has gained increasing popularity. We present StarClass, a new interactive visual classification method. This method maps multi-dimensional data to the visual display using star coordinates, allowing the user to interact with the display to create a decision tree. Preliminary evaluation indicates that this new technique is as effective as state-of-the-art algorithmic classification methods, and more effective than the previous visual-based methods. StarClass also offers additional advantages such as improving the user's understanding of the data.