Abstract
A self organizing map (SOM) is trained using unsupervised learning to produce a two-dimensional discretized representation of input space of the training cases. Growing Hierarchical SOM is an architecture which grows both in a hierarchical way representing the structure of data distribution and in a horizontal way representing the size of each individual maps. The control method of the growing degree by pruning off the redundant branch of hierarchy in SOM has been proposed and the criteria were designed by the adjustment of parameter settings according to the quantization error and the size of map. Moreover, the interface tool for the proposed method called interactive GHSOM has been developed. A mobile phone participatory sensing system in tourist subjective data collection has been developed with Android smartphone. In this paper, we examined to classify the subjective data by interactive GHSOM and the results were compared with knowledge extracted by C4.5.
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Ichimura, T., Kamada, S., Kato, K. (2012). Analysis of Tourist Subjective Data in Smartphone Based Participatory Sensing System by Interactive Growing Hierarchical SOM. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 16. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29920-9_23
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DOI: https://doi.org/10.1007/978-3-642-29920-9_23
Publisher Name: Springer, Berlin, Heidelberg
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