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BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
14 years 2 months ago
An Assessment of a Metric Space Database Index to Support Sequence Homology
Hierarchical metric-space clustering methods have been commonly used to organize proteomes into taxonomies. Consequently, it is often anticipated that hierarchical clustering can ...
Rui Mao, Weijia Xu, Neha Singh, Daniel P. Miranker
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
14 years 3 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
SISAP
2009
IEEE
134views Data Mining» more  SISAP 2009»
14 years 3 months ago
EGNAT: A Fully Dynamic Metric Access Method for Secondary Memory
—We introduce a novel metric space search data structure called EGNAT, which is fully dynamic and designed for secondary memory. The EGNAT is based on Brin’s GNAT static index,...
Roberto Uribe Paredes, Gonzalo Navarro
ICCS
2007
Springer
14 years 2 months ago
Searching and Updating Metric Space Databases Using the Parallel EGNAT
Abstract. The Evolutionary Geometric Near-neighbor Access Tree (EGNAT) is a recently proposed data structure that is suitable for indexing large collections of complex objects. It ...
Mauricio Marín, Roberto Uribe, Ricardo J. B...
ICPR
2010
IEEE
13 years 9 months ago
A Constant Average Time Algorithm to Allow Insertions in the LAESA Fast Nearest Neighbour Search Index
Abstract—Nearest Neighbour search is a widely used technique in Pattern Recognition. In order to speed up the search many indexing techniques have been proposed. However, most of...
Luisa Micó, José Oncina