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» High Dimensional Similarity Joins: Algorithms and Performanc...
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BMCBI
2006
164views more  BMCBI 2006»
14 years 9 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
95
Voted
DKE
2006
123views more  DKE 2006»
14 years 9 months ago
Cost models for distance joins queries using R-trees
The K-Closest-Pairs Query (K-CPQ), a type of distance join in spatial databases, discovers the K pairs of objects formed from two different datasets with the K smallest distances....
Antonio Corral, Yannis Manolopoulos, Yannis Theodo...
73
Voted
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
15 years 4 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
WWW
2003
ACM
15 years 10 months ago
Text joins in an RDBMS for web data integration
The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
92
Voted
ECCV
2008
Springer
15 years 11 months ago
What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images?
Many computer vision algorithms require searching a set of images for similar patches, which is a very expensive operation. In this work, we compare and evaluate a number of neares...
Neeraj Kumar, Li Zhang, Shree K. Nayar