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» Approximation Algorithms for Hamming Clustering Problems
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SPIRE
2010
Springer
14 years 8 months ago
Why Large Closest String Instances Are Easy to Solve in Practice
We initiate the study of the smoothed complexity of the Closest String problem by proposing a semi-random model of Hamming distance. We restrict interest to the optimization versio...
Christina Boucher, Kathleen Wilkie
139
Voted
CORR
1999
Springer
222views Education» more  CORR 1999»
14 years 9 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount
ICDE
2012
IEEE
252views Database» more  ICDE 2012»
13 years 1 days ago
Fuzzy Joins Using MapReduce
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
STRINGOLOGY
2004
14 years 11 months ago
BDD-Based Analysis of Gapped q-Gram Filters
Recently, there has been a surge of interest in gapped q-gram filters for approximate string matching. Important design parameters for filters are for example the value of q, the f...
Marc Fontaine, Stefan Burkhardt, Juha Kärkk&a...
ICMLA
2008
14 years 11 months ago
Farthest Centroids Divisive Clustering
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
Haw-ren Fang, Yousef Saad