Title :
The evolving tree, a hierarchical tool for unsupervised data analysis
Author :
Pakkanen, Jussi ; Iivarinen, Jukka ; Oja, Erkki
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Finland
fDate :
31 July-4 Aug. 2005
Abstract :
We present and examine a tree-shaped self-organizing neural network called the evolving tree. It has been designed to efficiently analyze large databases. We show how the system´s architecture makes it efficient for these kinds of tasks. We then analyze the system´s behaviour under different circumstances. We find that, despite being simple, the evolving tree is a suitable tool for unsupervised data analysis.
Keywords :
data analysis; neural nets; trees (mathematics); very large databases; evolving tree; large database; tree-shaped self-organizing neural network; unsupervised data analysis; Computer architecture; Counting circuits; Data analysis; Databases; Electronic mail; Information science; Laboratories; Neural networks; Prototypes; Tree data structures;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556078
