The self-organizing map of trees

被引：7
|
作者：
Peura, M
机构：
[1] Helsinki Univ Technol, Lab Comp & Informat Sci, FIN-02105 HUT, Finland
[2] Univ Strasbourg 1, CNRS, ERII, LSIIT, Strasbourg, France
来源：
NEURAL PROCESSING LETTERS | 1998年 / 8卷 / 02期
关键词：
self-organizing map; tree; graph matching;
D O I：
10.1023/A:1009648713183
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the standard version of the Self-Organizing Map, each neuron is associated with a vector. An extension using trees instead of vectors is presented. Compared to vectors, trees provide remarkably more degrees of freedom. The essential points of self-organization, the distance function and the learning rule, are adapted to trees by means of graph matching. In order to avoid exhaustive searching in tree matching an efficient heuristic is introduced. The results of the experiments are promising: the proposed methods apply elegantly in the process of self-organization.
引用
收藏
页码：155 / 162
页数：8
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