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Lecture Notes in Computer Science
Efficiently searching for patterns in very large collections of objects is a very active area of research. Over the last few years a number of indexes have been proposed to speed up the searching procedure. In this paper, we introduce a novel framework (the K-nearest references) in which several approximate proximity indexes can be analyzed and understood. The search spaces where the analyzed indexes work span from vector spaces, general metric spaces up to general similarity spaces. Thedoi:10.1007/978-3-642-21587-2_9 fatcat:cf5r5cml75defmf6l3jh5dnzsi