Evolving Tree Algorithm Modifications

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 lea...

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Bibliographic Details
Published inIntelligent Data Engineering and Automated Learning - IDEAL 2007 Vol. 4881; pp. 356 - 364
Main Authors Cannella, Vincenzo, Rizzo, Riccardo, Pirrone, Roberto
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2007
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Algorithms & data structures
Artificial intelligence
Online AccessGet full text
ISBN9783540772255
3540772251
ISSN0302-9743
1611-3349
DOI10.1007/978-3-540-77226-2_37

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Summary: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.
ISBN:9783540772255
3540772251
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-77226-2_37