458 search results - page 1 / 92 » Linear Time Algorithms for Clustering Problems in Any Dimens... |
ICALP
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
FOCS
1990
IEEE
13 years 8 months ago
1990
IEEE
For any xed dimension d, the linear programming problem with n inequality constraints can be solved on a probabilistic CRCW PRAM with O(n) processors almost surely in constant time...
ASIACRYPT
2008
Springer
13 years 6 months ago
2008
Springer
We study the problem of finding solutions to linear equations modulo an unknown divisor p of a known composite integer N. An important application of this problem is factorization ...
STOC
2002
ACM
14 years 5 months ago
2002
ACM
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
STOC
2003
ACM
14 years 5 months ago
2003
ACM
We present a general approach for designing approximation algorithms for a fundamental class of geometric clustering problems in arbitrary dimensions. More specifically, our appro...