Initialising self-organising maps

被引：0

作者：

Corchado, E ^{[1
]}

Fyfe, C ^{[1
]}

机构：

[1] Univ Paisley, Sch Informat & Commun Technol, Paisley, Renfrew, Scotland

来源：

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING | 2003年 / 2690卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We review a technique for creating Self-Organising Maps (SOMs) in a Feature space which is nonlinearly related to the original data space. We show that convergence is remarkably fast for this method. By considering the linear feature space, we show that it is the interaction between the overcomplete basis in which learning takes place and the mixture of one-shot and incremental learning which comprises the method that gives the method its power. We illustrate the method on real and artificial data sets.

引用

页码：161 / 168

页数：8

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