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Self-Organizing Graphs --- A Neural Network Perspective of Graph Layoutby: Bernd Meyer
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AbstractThe paper presents self-organizing graphs, a novel approach to graph layout based on a competitive learning algorithm. This method is an extension of selforganization strategies known from unsupervised neural networks, namely from Kohonen's self-organizing map. Its main advantage is that it is very flexibly adaptable to arbitrary types of visualization spaces, for it is explicitly parameterized by a metric model of the layout space. Yet the method consumes comparatively little computational...
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