Back to Search Start Over

An efficient MDS-based topographic mapping algorithm

Authors :
Matsuda, Yoshitatsu
Yamaguchi, Kazunori
Source :
Neurocomputing. Mar2005, Vol. 64, p285-299. 15p.
Publication Year :
2005

Abstract

Abstract: Here, an multidimensional scaling-based (MDS-based) topographic mapping algorithm is proposed, named the stochastic MDS network. Because this network utilizes not local but global information over all the units, it can find more optimal results than previous models. In addition, by using a stochastic gradient algorithm, the mapping formation in this network is carried out as efficiently as in SOM-like models based on only the local information. Some simple numerical experiments verified the validity and efficiency of this network. It was also applied to the formation of large-scale topographic mappings, and could form various interesting mappings. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09252312
Volume :
64
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
17553503
Full Text :
https://doi.org/10.1016/j.neucom.2004.11.008