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» Approximation schemes for clustering problems
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94
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CP
2004
Springer
15 years 3 months ago
Counting-Based Look-Ahead Schemes for Constraint Satisfaction
Abstract. The paper presents a new look-ahead scheme for backtracking search for solving constraint satisfaction problems. This look-ahead scheme computes a heuristic for value ord...
Kalev Kask, Rina Dechter, Vibhav Gogate
73
Voted
DAGSTUHL
2007
14 years 11 months ago
Approximating min-max k-clustering
We consider the problems of set partitioning into k clusters with minimum total cost and minimum of the maximum cost of a cluster. The cost function is given by an oracle, and we ...
Asaf Levin
87
Voted
CJ
1998
118views more  CJ 1998»
14 years 9 months ago
Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
Boris Mirkin
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
14 years 11 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
PODS
2009
ACM
119views Database» more  PODS 2009»
15 years 10 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala