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arXiv · 1701.08305

Multiclass MinMax Rank Aggregation

Pan Li·Olgica Milenkovic
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Abstract

We introduce a new family of minmax rank aggregation problems under two distance measures, the Kendall τ and the Spearman footrule. As the problems are NP-hard, we proceed to describe a number of constant-approximation algorithms for solving them. We conclude with illustrative applications of the aggregation methods on the Mallows model and genomic data.

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Pan Li, Olgica Milenkovic. 2017-01-28. Multiclass MinMax Rank Aggregation. https://arxiv.org/abs/1701.08305

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