Computer Science Department
School of Computer Science, Carnegie Mellon University
Tri-Plots: Scalable Tools for Multidimensional Data Mining
Agma Traina*, Caetano Traina*, Spiros Papadimitriou, Christos Faloutsos
We propose a new tool, the tri-plot, and its generalization, the pq-plot, which help us answer the above questions. We provide a set of rules on how to interpret a tri-plot, and we apply these rules on synthetic and real datasets. We also show how to use our tool for classification, when traditional methods (nearest neighbor, classification trees) may fail.
* Visiting from the Department of Computer Science and Statistics, University of S. Paulo at S. Carlos, Brazil.