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» Approximation Algorithms for Hamming Clustering Problems
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DAGSTUHL
2007
15 years 4 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
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 3 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
111
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ICALP
2010
Springer
15 years 7 months ago
Clustering with Diversity
Abstract. We consider the clustering with diversity problem: given a set of colored points in a metric space, partition them into clusters such that each cluster has at least point...
Jian Li, Ke Yi, Qin Zhang
IAT
2009
IEEE
15 years 9 months ago
Cluster-Swap: A Distributed K-median Algorithm for Sensor Networks
In building practical sensor networks, it is often beneficial to use only a subset of sensors to take measurements because of computational, communication, and power limitations....
Yoonheui Kim, Victor R. Lesser, Deepak Ganesan, Ra...
ADHOC
2010
292views more  ADHOC 2010»
15 years 3 months ago
Sleep/wake scheduling for multi-hop sensor networks: Non-convexity and approximation algorithm
We investigate the problem of sleep/wake scheduling for low duty cycle sensor networks. Our work differs from prior work in that we explicitly consider the effect of synchronizati...
Yan Wu, Sonia Fahmy, Ness B. Shroff