Introduction to algorithms
Approximation schemes for covering and packing problems in image processing and VLSI
Journal of the ACM (JACM)
Approximation algorithms for NP-hard problems
Regular Article: Randomized Nonlinear Projections Uncover High-Dimensional Structure
Advances in Applied Mathematics
On the hardness of approximating minimization problems
Journal of the ACM (JACM)
A new family of proximity graphs: class cover catch digraphs
Discrete Applied Mathematics
Convex sets as prototypes for classifying patterns
Engineering Applications of Artificial Intelligence
A randomized sphere cover classifier
IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
A hybrid algorithm for solving generalized class cover problem
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
A fuzzy neural network system based on generalized class cover problem
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
The convex subclass method: combinatorial classifier based on a family of convex sets
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
A fuzzy neural network system based on generalized class cover and particle swarm optimization
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part II
The class cover problem with boxes
Computational Geometry: Theory and Applications
Operations Research Letters
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We introduce the class cover problem, a variant of disk cover with forbidden regions, with applications to classification and facility location problems. We prove similar hardness results to disk cover. We then present a polynomial-time approximation algorithm for class cover that performs within a ln n+1 factor of optimal, which is nearly tight under standard hardness assumptions. In the special case that the points lie in a d-dimensional space with Euclidean norm, for some fixed constant d, we obtain a polynomial time approximation scheme.