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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| Published in | Intelligent Data Engineering and Automated Learning - IDEAL 2007 Vol. 4881; pp. 356 - 364 |
|---|---|
| Main Authors | , , |
| Format | Book Chapter |
| Language | English |
| Published |
Germany
Springer Berlin / Heidelberg
2007
Springer Berlin Heidelberg |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 9783540772255 3540772251 |
| ISSN | 0302-9743 1611-3349 |
| DOI | 10.1007/978-3-540-77226-2_37 |
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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. |
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| AbstractList | 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. |
| Author | Rizzo, Riccardo Cannella, Vincenzo Pirrone, Roberto |
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| Copyright | Springer-Verlag Berlin Heidelberg 2007 |
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| DOI | 10.1007/978-3-540-77226-2_37 |
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| Editor | Yao, Xin Yin, Hujun Tino, Peter Byrne, Will Corchado, Emilio |
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| Snippet | 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... |
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| SubjectTerms | Algorithms & data structures Artificial intelligence |
| Title | Evolving Tree Algorithm Modifications |
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