Self-organizing maps (SOMs) are unsupervised learning models that allow the mapping of high-dimensional data (input space) onto a low-dimensional computational ...
Self-Organizing Maps (SOMs) are unsupervised learning models that allow the map- ping of high-dimensional data onto a low-dimensional computational grid ( ...
This paper describes a novel concept on the processing of graph structured information using the self organizing map framework which allows the processing of ...
This paper describes a novel concept on the processing of graph structured information using the self-organizing map framework which allows the processing of ...
This paper introduces a new concept to the processing of graph struc- tured information using self organising map framework. Previous approaches to this ...
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This paper describes a novel concept on the processing of graph structured information using the self-organizing map framework which allows the processing of ...
Full-Text Articles in Entire DC Network · A Supervised Training Algorithm For Self-Organizing Maps For Structures, Markus Hagenbuchner, Ah Chung Tsoi · Learning ...
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Kohonen's self-organizing map (SOM) is an abstract mathematical model of topographic mapping from the (visual) sensors to the cerebral cortex. Model- ing and ...
Graph Partitioning with Self-Organizing Maps | Santa Fe ...
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Self-organizing maps with variable local topology are shown to constitute a reasonably good heuristic to find approximate solutions to the NP-complete ...
Missing: cyclic unbounded