The evolving tree - Analysis and applications

被引：28
作者：
Neural Networks Research Centre, Helsinki University of Technology, Helsinki 02015 HUT, Finland [1 ]
机构：
[1] Neural Networks Research Centre, Helsinki University of Technology
来源：
IEEE Trans Neural Networks | 2006年 / 3卷 / 591-603期
关键词：
Evolving tree (ETree); Hierarchical clustering; Self-organization; Tree-shaped neural networks;
D O I：
10.1109/TNN.2006.873294
中图分类号：
学科分类号：
摘要：
In this paper, we enhance and analyze the Evolving Tree (ETree) data analysis algorithm. The suggested improvements aim to make the system perform better while still maintaining the simple nature of the basic algorithm. We also examine the system's behavior with many different kinds of tests, measurements and visualizations. We compare the ETree's performance against classical data analysis methods and very similar modern systems. We find that the ETree is a suitable method for unsupervised analysis of huge data sets. © 2006 IEEE.
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页码：591 / 603
页数：12
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