Talks and Poster Presentations (with Proceedings-Entry):
G. Pölzlbauer, M. Dittenbach, A. Rauber:
"Gradient visualization of grouped component planes on the SOM lattice";
Poster: Workshop on Self-Organizing Maps (WSOM'05),
- 2005-09-08; in: "Proceedings of the 5th Workshop on Self-Organizing Maps",
The Self-Organizing Map has been successfully applied in numerous industrial applications. An important task in data analysis is finding and visualizing multiple dependencies in data. In this paper, we propose a method for visualizing the Self-Organizing Map by decomposing the feature dimensions into groups with high correlation or selections by domain experts. Using Gradient Visualization we plot a vector field for each of these groups on top of the map lattice, with arrows pointing towards the nearest cluster center. We provide a real-world example from the domain of petroleum engineering and point out our technique's usefulness in understanding mutual dependencies hidden in the data.
Online library catalogue of the TU Vienna:
Created from the Publication Database of the Vienna University of Technology.