Title :
Investigations of the self organising tree map
Author :
Randall, Jonathan ; Guan, Ling ; Zhang, Xing ; Li, Wanqing
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
The self-organising tree map (SOTM), which is a variation of the self-organising map, is studied for the purpose of unsupervised data clustering. This method is applied to segmentation of grey-scale digital images, and the properties of the map are illustrated by clustering of uniformly distributed two-dimensional squares
Keywords :
image segmentation; pattern clustering; self-organising feature maps; trees (mathematics); unsupervised learning; grey-scale digital image segmentation; self-organising tree map; uniformly distributed squares; unsupervised data clustering; Clustering algorithms; Computer architecture; Convergence; Degradation; Digital images; Distributed computing; Electronic mail; Euclidean distance; Image segmentation; Neural networks;
Conference_Titel :
Neural Information Processing, 1999. Proceedings. ICONIP '99. 6th International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-5871-6
DOI :
10.1109/ICONIP.1999.845685
