Evolving tree algorithm modifications

Authors:
Vincenzo Cannella;Riccardo Rizzo;Roberto Pirrone
Affiliations:
DINFO, University of Palermo, Palermo, Italy;ICAR, Italian National Research Council, Palermo, Italy;DINFO, University of Palermo, Palermo, Italy
Venue:
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Year:
2007

Citing 3
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Self-organizing maps

Self-organizing maps
A self-organising network that grows when required

Neural Networks - New developments in self-organizing maps
The Evolving Tree—A Novel Self-Organizing Network for Data Analysis

Neural Processing Letters

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Abstract

There are many variants of the original self-organizing neural map algorithm proposed by Kohonen. One of the most recent is the Evolving Tree, a tree-shaped self-organizing network which has many interesting characteristics. This network builds a tree structure splitting the input dataset during learning. This paper presents a speed-up modification of the original training algorithm useful when the Evolving Tree network is used with complex data as images or video. After a measurement of the effectiveness an application of the modified algorithm in image segmentation is presented.