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by P. Ciaccia, M. Patella, F. Rabitti, P. Zezula
ftp://ftp-db.deis.unibo.it/pub/paolo/SEBD97/SEBD97.ps.gz
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Abstract:
Abstract. M-tree is a dynamic access method suitable to index generic "metric spaces", where the function used to compute the distance between any two objects satisfies the positivity, symmetry, and triangle inequality postulates. The M-tree design fulfills typical requirements of multimedia applications, where objects are indexed using complex features, and similarity queries can require application of time-consuming distance functions. In this paper we describe the basic search and management algorithms of M-tree, introduce several heuristic split policies, and experimentally evaluate them, considering both I/O and CPU costs. Results also show that M-tree performs better than R
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