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» Approximation algorithms for co-clustering
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ACSC
2006
IEEE
14 years 3 months ago
Improvements of TLAESA nearest neighbour search algorithm and extension to approximation search
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
Ken Tokoro, Kazuaki Yamaguchi, Sumio Masuda
PODS
2008
ACM
159views Database» more  PODS 2008»
14 years 9 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
COMPGEOM
2009
ACM
14 years 3 months ago
Near-linear approximation algorithms for geometric hitting sets
Given a set system (X, R), the hitting set problem is to find a smallest-cardinality subset H ⊆ X, with the property that each range R ∈ R has a non-empty intersection with H...
Pankaj K. Agarwal, Esther Ezra, Micha Sharir
COMGEO
2004
ACM
13 years 9 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
SODA
2003
ACM
158views Algorithms» more  SODA 2003»
13 years 10 months ago
Faster approximation algorithms for the minimum latency problem
We give a 7.18-approximation algorithm for the minimum latency problem that uses only O(n log n) calls to the prize-collecting Steiner tree (PCST) subroutine of Goemans and Willia...
Aaron Archer, David P. Williamson