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» Sublinear Time Algorithms for Metric Space Problems
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COMPGEOM
2009
ACM
15 years 8 months ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani
GECCO
2000
Springer
120views Optimization» more  GECCO 2000»
15 years 7 months ago
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP
We present an "adaptive multi-start" genetic algorithm for the Euclidean traveling salesman problem that uses a population of tours locally optimized by the Lin-Kernigha...
Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott ...
PLDI
2000
ACM
15 years 7 months ago
Off-line variable substitution for scaling points-to analysis
Most compiler optimizations and software productivity tools rely on information about the effects of pointer dereferences in a program. The purpose of points-to analysis is to com...
Atanas Rountev, Satish Chandra
ICDT
2009
ACM
147views Database» more  ICDT 2009»
16 years 4 months ago
The average-case complexity of counting distinct elements
We continue the study of approximating the number of distinct elements in a data stream of length n to within a (1? ) factor. It is known that if the stream may consist of arbitra...
David P. Woodruff
FCCM
2006
IEEE
195views VLSI» more  FCCM 2006»
15 years 9 months ago
A Parallel Hardware Architecture for fast Gaussian Elimination over GF(2)
This paper presents a hardware-optimized variant of the well-known Gaussian elimination over GF(2) and its highly efficient implementation. The proposed hardware architecture, we...
Andrey Bogdanov, M. C. Mertens