Title :
A modified algorithm for the fast processing with the Growing Self-Organizing Map
Author :
Yu, Yaohua ; Alahakoon, Damminda
Author_Institution :
Monash Univ., Clayton
Abstract :
The Growing Self-organizing map algorithm (GSOM) has been developed based on SOM. With its dynamic structure, GSOM can generate feature maps without predetermining their size. It has shown many significant advantages when processing very large data sets. These advantages could be further enhanced if the processing speed of the algorithm could be increased. This paper presents a modified version of GSOM, which implements the batch processing principle to shorten the processing time. The algorithm and experimental results showing the improved performance are presented in this paper.
Keywords :
batch processing (computers); self-organising feature maps; batch processing; data sets; growing self-organizing map; Clustering algorithms; Information technology; Probability density function; Size control; Vector quantization; Growing Self-Organizing Map; batch processing;
Conference_Titel :
Information and Automation, 2006. ICIA 2006. International Conference on
Conference_Location :
Shandong
Print_ISBN :
1-4244-0555-6
Electronic_ISBN :
1-4244-0555-6
DOI :
10.1109/ICINFA.2006.374097