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» Approximation schemes for clustering problems
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ICPR
2010
IEEE
14 years 7 months ago
Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization
A novel stochastic searching scheme based on the Monte Carlo optimization is presented for polygonal approximation (PA) problem. We propose to combine the split-and-merge based lo...
Xiuzhuang Zhou, Yao Lu
STOC
2005
ACM
143views Algorithms» more  STOC 2005»
15 years 3 months ago
On strip packing With rotations
We present an asymptotic fully polynomial time approximation scheme for two-dimensional strip packing with rotations. In this problem, a set of rectangles need to be packed into a...
Klaus Jansen, Rob van Stee
VISSYM
2003
14 years 11 months ago
Adaptive Smooth Scattered Data Approximation for Large-scale Terrain Visualization
We present a fast method that adaptively approximates large-scale functional scattered data sets with hierarchical B-splines. The scheme is memory efficient, easy to implement an...
Martin Bertram, Xavier Tricoche, Hans Hagen
COMPGEOM
2004
ACM
15 years 3 months ago
Locality-sensitive hashing scheme based on p-stable distributions
We present a novel Locality-Sensitive Hashing scheme for the Approximate Nearest Neighbor Problem under ÐÔ norm, based on Ôstable distributions. Our scheme improves the running...
Mayur Datar, Nicole Immorlica, Piotr Indyk, Vahab ...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
14 years 9 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo