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» Approximation Algorithms for Hamming Clustering Problems
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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
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
ICALP
2010
Springer
15 years 2 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 4 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»
14 years 9 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