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Metric k-center
Known as:
K-center
, Minimum k-center
In graph theory, the metric k-center or metric facility location problem is a combinatorial optimization problem studied in theoretical computer…
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Related topics
Related topics
11 relations
Approximation algorithm
Dominating set
Facility location problem
Farthest-first traversal
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Broader (1)
Combinatorial optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
fCDN: A Flexible and Efficient CDN Infrastructure without DNS Redirection or Content Reflection
Mays F. Al-Naday
,
M. Reed
,
Janne Riihijärvi
,
D. Trossen
,
N. Thomos
,
Mohammed Q. S. Al-Khalidi
arXiv.org
2018
Corpus ID: 3677745
Flexible and efficient CDNs are critical to facilitate content distribution in 5G+ architectures. Current CDNs suffer from…
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2017
2017
CS 264 : Beyond Worst-Case Analysis Lecture # 6 : Perturbation-Stable Clustering ∗
Tim Roughgarden
2017
Corpus ID: 31556492
In some optimization problems, the objective function can be taken pretty literally. If one wants to maximize profit or…
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2014
2014
Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh
,
C. Srinivasa
,
B. Frey
,
R. Greiner
International Conference on Machine Learning
2014
Corpus ID: 5740528
We study the min-max problem in factor graphs, which seeks the assignment that minimizes the maximum value over all factors. We…
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2013
2013
A Method of Geometric K-center Gateway Deployment of Wireless Mesh Networks
H. Shu
2013
Corpus ID: 62986870
Now there is no good solution to the problem of geometric K-center gateway deployment in wireless mesh networks,and the problem…
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2012
2012
Distributed Weighted Clustering of Evolving Sensor Data Streams with Noise
Marwan Hassani
,
T. Seidl
Journal of Digital Information Management
2012
Corpus ID: 13391627
Collecting data from sensor nodes is the ultimate goal of Wireless Sensor Networks. This is performed by transmitting the sensed…
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2011
2011
Hardness and Non-Approximability of Bregman Clustering Problems
Marcel R. Ackermann
,
Johannes Blömer
,
Christoph Scholz
Electron. Colloquium Comput. Complex.
2011
Corpus ID: 12079956
We prove the computational hardness of three k-clustering problems using an (almost) arbitrary Bregman divergence as…
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2010
2010
An improved fuzzy k-means clustering with k-center initialization
Taoying Li
,
Yan Chen
,
X. Mu
,
Mingyuan Yang
Third International Workshop on Advanced…
2010
Corpus ID: 17326923
Initialization of fuzzy k-means algorithm decreases the convergent rate of clustering and leads to plenty of calculation. Thus…
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2010
2010
Fuzzy K-Means Incremental Clustering Based on K-Center and Vector Quantization
Taoying Li
,
Yan Chen
Journal of Computers
2010
Corpus ID: 16092686
Fuzzy k -means and vector quantization are combined in this paper to complement each other in incremental mode because each has…
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2008
2008
The Planar k-Centra Location Problem
Siddarth R. Kotian
,
Claribel Bonilla
,
T. Hale
2008
Corpus ID: 14092040
The objective of this research is to develop a procedure that will solve, contingent on a necessary and sufficient optimality…
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2003
2003
Improved Fast Gauss Transform
Changjiang Yang
,
R. Duraiswami
,
N. Gumerov
2003
Corpus ID: 1751394
The fast Gauss transform proposed by Greengard and Strain reduces the computational complexity of the evaluation of the sum of N…
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