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» Approximate Data Structures with Applications
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136
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ICPR
2002
IEEE
15 years 11 months ago
Exploratory Analysis of Point Proximity in Subspaces
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
Tin Kam Ho
ER
2007
Springer
279views Database» more  ER 2007»
16 years 9 days ago
SimEval - A Tool for Evaluating the Quality of Similarity Functions
Approximate data matching applications typically use similarity functions to quantify the degree of likeness between two data instances. There are several similarity functions ava...
Carlos A. Heuser, Francisco N. A. Krieser, Viviane...
255
Voted
SODA
2012
ACM
297views Algorithms» more  SODA 2012»
13 years 8 months ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
WADS
2009
Springer
265views Algorithms» more  WADS 2009»
16 years 22 days ago
A Distribution-Sensitive Dictionary with Low Space Overhead
The time required for a sequence of operations on a data structure is usually measured in terms of the worst possible such sequence. This, however, is often an overestimate of the ...
Prosenjit Bose, John Howat, Pat Morin
BIRD
2008
Springer
162views Bioinformatics» more  BIRD 2008»
15 years 8 months ago
Suffix Tree Characterization of Maximal Motifs in Biological Sequences
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
Maria Federico, Nadia Pisanti