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Locality-preserving hashing in multidimensional spaces
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Fast algorithms for projected clustering
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Efficient approximation and optimization algorithms for computational metrology
SODA '97 Proceedings of the eighth annual ACM-SIAM symposium on Discrete algorithms
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ACM Computing Surveys (CSUR)
Finding generalized projected clusters in high dimensional spaces
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Approximation algorithms for projective clustering
SODA '00 Proceedings of the eleventh annual ACM-SIAM symposium on Discrete algorithms
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Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Local Dimensionality Reduction: A New Approach to Indexing High Dimensional Spaces
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The Two-Line Center Problem from a Polar View: A New Algorithm and Data Structure
WADS '95 Proceedings of the 4th International Workshop on Algorithms and Data Structures
Approximate Shape Fitting via Linearization
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Curve reconstruction from noisy samples
Proceedings of the nineteenth annual symposium on Computational geometry
Approximation algorithms for projective clustering
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A (1 + ɛ)-approximation algorithm for 2-line-center
Computational Geometry: Theory and Applications
Practical methods for shape fitting and kinetic data structures using core sets
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
On coresets for k-means and k-median clustering
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Approximating extent measures of points
Journal of the ACM (JACM)
A simple linear algorithm for computing rectilinear 3-centers
Computational Geometry: Theory and Applications - Special issue: The 11th Candian conference on computational geometry - CCCG 99
Analysis of incomplete data and an intrinsic-dimension Helly theorem
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Matrix approximation and projective clustering via volume sampling
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Bi-criteria linear-time approximations for generalized k-mean/median/center
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
Proceedings of the forty-first annual ACM symposium on Theory of computing
A near-linear algorithm for projective clustering integer points
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Data reduction for weighted and outlier-resistant clustering
Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete Algorithms
FSTTCS '05 Proceedings of the 25th international conference on Foundations of Software Technology and Theoretical Computer Science
FSTTCS'04 Proceedings of the 24th international conference on Foundations of Software Technology and Theoretical Computer Science
An effective coreset compression algorithm for large scale sensor networks
Proceedings of the 11th international conference on Information Processing in Sensor Networks
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Given a set P of n points in Rd and an integer k 驴 1, let w* denote the minimum value so that P can be covered by k cylinders of radius at most w*. We describe an algorithm that, given P and an 驴 0, computes k cylinders of radius at most (1 + 驴)w* that cover P. The running time of the algorithm is O(n log n), with the constant of proportionality depending on k, d, and 驴. We first show that there exists a small "certificate" Q 驴 P, whose size does not depend on n, such that for any k-cylinders that cover Q, an expansion of these cylinders by a factor of (1 + 驴) covers P. We then use a well-known scheme based on sampling and iterated re-weighting for computing the cylinders.