Carnegie Mellon University
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A constant factor approximation algorithm for a class of classification problems

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journal contribution
posted on 1988-01-01, 00:00 authored by Anupam Gupta, Eva Tardos
In a traditional classification problem, we wish to assign labels from a set L to each of n objects so that the labeling is consistent with some observed data that includes pairwise relationships among the objects. Kleinberg and Tardos recently formulated a general classification problem of this type, the “metric labeling problem”, and gave an O(logjLlogjL) approximation algorithm for it. The algorithm is based on solving a linear programming relaxation of a natural integer program and then randomized rounding.


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