A recursive embedding approach to median graph computation
The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely complex. Several approaches have been presented up to now based on different str...
| Autores: | , , |
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| Tipo de documento: | capítulo de livro |
| Data de publicação: | 2009 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/7811 |
| Acesso em linha: | https://hdl.handle.net/2117/7811 https://dx.doi.org/10.1007/978-3-642-02124-4_12 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Pattern recognition systems Reconeixement de formes (Informàtica) Classificació INSPEC::Pattern recognition Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes |
| Resumo: | The median graph has been shown to be a good choice to infer a representative of a set of graphs. It has been successfully applied to graph-based classification and clustering. Nevertheless, its computation is extremely complex. Several approaches have been presented up to now based on different strategies. In this paper we present a new approximate recursive algorithm for median graph computation based on graph embedding into vector spaces. Preliminary experiments on three databases show that this new approach is able to obtain better medians than the previous existing approaches. |
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