DocumentCode
1943606
Title
Connection between Self-Organizing Maps and Metric Multidimensional Scaling
Author
Yin, Hujun
Author_Institution
Univ. of Manchester, Manchester
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
1025
Lastpage
1030
Abstract
The self-organizing map (SOM) and some of its variants such as visualization induced SOM (ViSOM) have been seen to yield similar results to multidimensional scaling (MDS). However the exact connection has yet been established, though similar topographic mapping results have been shown in several studies. In this paper we provide a review on the SOM and its cost function and topological measures. Then we examine its relationship with MDS from their cost functions in the aspect of data visualization. The SOM is shown to produce a quantized, qualitative scaling and while the ViSOM a quantitative or metric scaling. The SOM can also be regarded as a generalized MDS to relate two metric spaces by forming a topological mapping between them. The connection between MDS and principal manifolds is also discussed.
Keywords
pattern recognition; self-organising feature maps; metric multidimensional scaling; principal manifolds; self-organizing maps; topographic mapping; Brain modeling; Cerebral cortex; Cost function; Data visualization; Multidimensional systems; Nerve fibers; Neural networks; Pattern recognition; Self organizing feature maps; Surface topography;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371099
Filename
4371099
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