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Published in: Soft Computing 12/2017

14-01-2016 | Methodologies and Application

An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis

Authors: Hiroshi Wakuya, Yu Horinouchi, Hideaki Itoh, Hisao Fukumoto, Tatsuya Furukawa

Published in: Soft Computing | Issue 12/2017

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Abstract

One of the attractive features which a self-organizing map (SOM) possesses is a topology-preserving projection from the input layer to the competitive layer. Generally speaking, its correspondence is developed through training based on information representations of the applied multi-dimensional data. A developed feature map in the competitive layer enables us easy to understand some underlying rules visually. By the way, an analysis of Saga Prefectural sightseeing information by a SOM has been tried so far. According to the results of preceding studies, applied various topics are divided into several groups successfully. Nevertheless, there are some items not reflected in them at all. This fact implies that representations of the applied data are not appropriate to develop the feature map which we have intended in advance. Then, to overcome this tough problem, a simple idea to emphasize particular items depending on our interests is introduced as pre-synaptic processing. As a result of some computer simulations, it is confirmed that the developed feature maps are modified adaptively depending on the emphasized coefficient. And, it is concluded that the proposed simple method is effective.

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Footnotes
2
Because the competitive layer is a torus, the line #1 (top) is adjoined to the line #15 (bottom). Therefore, it looks like they are separate apparently, but actually they are the same.
 
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Metadata
Title
An analysis of multi-dimensional data containing emphasized items by self-organizing map and its application to sightseeing information analysis
Authors
Hiroshi Wakuya
Yu Horinouchi
Hideaki Itoh
Hisao Fukumoto
Tatsuya Furukawa
Publication date
14-01-2016
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 12/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-015-2012-y

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