Title :
The evolving tree-analysis and applications
Author :
Pakkanen, Jussi ; Iivarinen, Jukka ; Oja, Erkki
Author_Institution :
Neural Networks Res. Centre, Helsinki Univ. of Technol.
fDate :
5/1/2006 12:00:00 AM
Abstract :
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
Keywords :
data analysis; neural nets; trees (mathematics); evolving tree data analysis algorithm; huge data sets; modern systems; unsupervised analysis; Algorithm design and analysis; Clustering algorithms; Computer science; Data analysis; Data visualization; Helium; Large-scale systems; Neural networks; Space technology; System testing; Evolving tree (ETree); hierarchical clustering; self-organization; tree-shaped neural networks;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2006.873294
