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» Clustering Large Datasets in Arbitrary Metric Spaces
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BIBE
2003
IEEE
116views Bioinformatics» more  BIBE 2003»
14 years 20 days 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
SSDBM
2003
IEEE
123views Database» more  SSDBM 2003»
14 years 19 days ago
MoBIoS: A Metric-Space DBMS to Support Biological Discovery
MoBIoS is a specialized database management system whose storage manager is based on metric-space indexing, and whose query language entails biological data types. When relational...
Daniel P. Miranker, Weijia Xu, Rui Mao
ICDE
2004
IEEE
120views Database» more  ICDE 2004»
14 years 8 months ago
Substructure Clustering on Sequential 3d Object Datasets
In this paper, we will look at substructure clustering of sequential 3d objects. A sequential 3d object is a set of points located in a three dimensional space that are linked up ...
Zhenqiang Tan, Anthony K. H. Tung
VLDB
2007
ACM
169views Database» more  VLDB 2007»
14 years 7 months ago
Peer-to-Peer Similarity Search in Metric Spaces
This paper addresses the efficient processing of similarity queries in metric spaces, where data is horizontally distributed across a P2P network. The proposed approach does not r...
Christos Doulkeridis, Akrivi Vlachou, Yannis Kotid...
ICCS
2007
Springer
14 years 1 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...