DocumentCode
3459614
Title
DGTSOM: An Improved Dynamical Growing Tree Based on Self-Organizing Map
Author
Zhang, Qian ; Qi, Deyu
Author_Institution
Res. Inst. of Comput. Syst., South China Univ. of Technol., Guangzhou, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
The advantage and disadvantage of some kinds of the improved self-organizing map algorithm are discussed in the paper, and an Improved Dynamical Growing Tree based on Self-organizing Map (DGTSOM) is introduced. In the proposed algorithm, the network size and shape is formed by growing nodes on demand in the right position and pruning underused nodes during the unsupervised training process, so the network structure is flexible and dynamical, not needed to be predetermined. The DGTSOM algorithm is presented in detail, and the performance advantages are discussed and compared with other algorithms.
Keywords
pattern classification; self-organising feature maps; tree data structures; unsupervised learning; DGTSOM algorithm; improved dynamical growing tree; improved self-organizing map algorithm; pruning underused nodes; unsupervised training process; Accuracy; Classification algorithms; Clustering algorithms; Convergence; Equations; Heuristic algorithms; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659328
Filename
5659328
Link To Document