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» Approximation Algorithms for Clustering Problems
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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
15 years 11 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
166
Voted
ICCAD
2008
IEEE
170views Hardware» more  ICCAD 2008»
16 years 3 months ago
A polynomial time approximation scheme for timing constrained minimum cost layer assignment
Abstract— As VLSI technology enters the nanoscale regime, interconnect delay becomes the bottleneck of circuit performance. Compared to gate delays, wires are becoming increasing...
Shiyan Hu, Zhuo Li, Charles J. Alpert
SODA
2004
ACM
161views Algorithms» more  SODA 2004»
15 years 8 months ago
Approximation schemes for Metric Bisection and partitioning
We design polynomial time approximation schemes (PTASs) for Metric BISECTION, i.e. dividing a given finite metric space into two halves so as to minimize or maximize the sum of di...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 6 months ago
Approximating Multi-Criteria Max-TSP
Abstract. We present randomized approximation algorithms for multicriteria Max-TSP. For Max-STSP with k > 1 objective functions, we obtain an approximation ratio of 1 k - for a...
Markus Bläser, Bodo Manthey, Oliver Putz
IROS
2007
IEEE
159views Robotics» more  IROS 2007»
16 years 1 months ago
Approximate covariance estimation in graphical approaches to SLAM
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...