CMU-CS-01-143 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 July 2001
CMU-CS-01-143.ps
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. 20 pages * Visiting from the Department of Computer Science and Statistics, University of S. Paulo at S. Carlos, Brazil. | |
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