[Please copy the mailing list on replies so others can contribute to and learn from the discussion.] On Wed, May 10, 2006 at 02:50:26PM -0300, Humberto Luiz Razente wrote: > I'm trying to index data characteristics extracted from multimedia > files (like a color distribution histogram from an image), in > order to make k-nearest neighbor queries (similarity-based queries). > The problem is that I can have a variable number of characteristics (its > called adimensional features), so I cannot index with R-tree > like GIST. I already have the tree implemented in C, so I would > like to build a tree for each complex type in each > attribute/relation. Am I going in the wrong direction? I'm not familiar with the problem domain but maybe somebody else on the mailing list is. Could you explain a bit more, perhaps with an example showing how you're currently using the type and what you'd like to be able to do with it (e.g., a hypothetical table, data set, query, and query result)? -- Michael Fuhr
