Hagenbuchner et al., 2009 - Google Patents
Graph self-organizing maps for cyclic and unbounded graphsHagenbuchner et al., 2009
- Document ID
- 12992213189478137822
- Author
- Hagenbuchner M
- Sperduti A
- Tsoi A
- Publication year
- Publication venue
- Neurocomputing
External Links
Snippet
Self-organizing maps capable of processing graph structured information are a relatively new concept. This paper describes a novel concept on the processing of graph structured information using the self-organizing map framework which allows the processing of much …
- 125000004122 cyclic group 0 title abstract description 7
Classifications
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- G06F17/30587—Details of specialised database models
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- G06K9/6251—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on a criterion of topology preservation, e.g. multidimensional scaling, self-organising maps
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