Abstract
M-trees are used to organize and define fast queries on large databases of Attributed Graphs. In classical schemes based on metric trees, the routing information stored in a routing tree node is a selected Attributed Graph from the sub-cluster the node represents. Depending on the sub-cluster and the application, it is difficult to select a good representative of the sub-cluster. To that aim, we propose to use Generalized Median Graphs as the main information kept in the routing nodes of the m-tree. Experimental validation shows that in database queries, the decrease of the nodes explored in the m-tree while using a Generalized Median Graph is about 20% respect using a selected Attributed Graph.
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Serratosa, F., SolĂ©-Ribalta, A., Vidiella, E. (2010). Graph Indexing and Retrieval Based on Median Graphs. In: MartĂnez-Trinidad, J.F., Carrasco-Ochoa, J.A., Kittler, J. (eds) Advances in Pattern Recognition. MCPR 2010. Lecture Notes in Computer Science, vol 6256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15992-3_33
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DOI: https://doi.org/10.1007/978-3-642-15992-3_33
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