Title :
Self-Organizing Map with Weighted Connections avoiding false-neighbor effects
Author :
Matsushita, Haruna ; Nishio, Yoshifumi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
fDate :
May 30 2010-June 2 2010
Abstract :
This study proposes the Self-Organizing Map with Weighted Connections avoiding false-neighbor effects (WC-SOM). We investigate the effectiveness of WC-SOM in comparison with the conventional SOM, Growing Grid and FN-SOM. We confirm that WC-SOM enables the most flexible self-organization among the four algorithms and can obtain the effective map reflecting the distribution state of the input data using fewer neurons.
Keywords :
pattern clustering; self-organising feature maps; data clustering; false neighbor effects; neurons; self organizing map; weighted connections; Clustering algorithms; Frequency; Neurons; Shape; Telephony;
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
DOI :
10.1109/ISCAS.2010.5537113
