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» Sublinear Time Algorithms for Metric Space Problems
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STACS
2007
Springer
13 years 11 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler
STOC
2004
ACM
122views Algorithms» more  STOC 2004»
14 years 5 months ago
Estimating the weight of metric minimum spanning trees in sublinear-time
In this paper we present a sublinear time (1+ )-approximation randomized algorithm to estimate the weight of the minimum spanning tree of an n-point metric space. The running time...
Artur Czumaj, Christian Sohler
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 5 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
RECOMB
2006
Springer
14 years 5 months ago
A Sublinear-Time Randomized Approximation Scheme for the Robinson-Foulds Metric
The Robinson-Foulds (RF) metric is the measure most widely used in comparing phylogenetic trees; it can be computed in linear time using Day's algorithm. When faced with the n...
Nicholas D. Pattengale, Bernard M. E. Moret
DCC
2002
IEEE
14 years 5 months ago
Bit Allocation in Sub-linear Time and the Multiple-Choice Knapsack Problem
We show that the problem of optimal bit allocation among a set of independent discrete quantizers given a budget constraint is equivalent to the multiple choice knapsack problem (...
Alexander E. Mohr