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ADC
2003
Springer
127views Database» more  ADC 2003»
15 years 2 months ago
M+-tree : A New Dynamical Multidimensional Index for Metric Spaces
In this paper, we propose a new metric index, called M+ -tree, which is a tree dynamically organized for large datasets in metric spaces. The proposed M+ -tree takes full advantag...
Xiangmin Zhou, Guoren Wang, Jeffrey Xu Yu, Ge Yu
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
15 years 10 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
86
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SISAP
2010
IEEE
159views Data Mining» more  SISAP 2010»
14 years 7 months ago
CP-index: using clustering and pivots for indexing non-metric spaces
Most multimedia information retrieval systems use an indexing scheme to speed up similarity search. The index aims to discard large portions of the data collection at query time. ...
Victor Sepulveda, Benjamin Bustos
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
15 years 10 months ago
Distance Based Indexing for String Proximity Search
In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries...
Jai Macker, Murat Tasan, Süleyman Cenk Sahina...