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- W2079789924 abstract "Self-organizing maps (SOM) are unsupervised, competitive neural networks used to project high-dimensional data onto a low-dimensional space. In this paper it is shown that SOM can be used to perform multidimensional scaling (MDS) on graphs. The SOM-based approach is applied to two families of random graphs and three real-world networks." @default.
- W2079789924 created "2016-06-24" @default.
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- W2079789924 date "2002-06-01" @default.
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- W2079789924 title "Graph multidimensional scaling with self-organizing maps" @default.
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- W2079789924 doi "https://doi.org/10.1016/s0020-0255(02)00191-3" @default.
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