Ms. Yingxin Wu Profile

Yingxin Wu

at Univ of Sydney

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Proceedings Article | 11 March 2005 Paper

Geodesic self-organizing map

Yingxin Wu, Masahiro Takatsuka

Proceedings Volume 5669, (2005) https://doi.org/10.1117/12.586807

KEYWORDS: Spherical lenses, Neurons, Optical spheres, Visualization, Data modeling, Visual analytics, Data analysis, Associative arrays, RGB color model, Data visualization

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Self-Organizing map (SOM) is a widely used tool to find clustering and also to visualize high dimensional data. Several spherical SOMs have been proposed to create a more accurate representation of the data by removing the “border effect”. In this paper, we compare several spherical lattices for the purpose of implementation of a SOM. We then introduce a 2D rectangular grid data structure for representing the geodesic dome. This new approach improves the neighborhood searching process in the spherical gird. The new Geodesic SOM and its data structure are tested using socio-demographic data. In the experiments, we try to create a notion of direction in the Geodesic SOM. The direction facilitates more consistent visual comparison of different datasets as well as to assist viewers building their mental maps.

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