arXiv · 1702.00109
Info-Clustering: An Efficient Algorithm by Network Information Flow
Abstract
Motivated by the fact that entities in a social network or biological system often interact by exchanging information, we propose an efficient info-clustering algorithm that can group entities into communities using a parametric max-flow algorithm. This is a meaningful special case of the info-clustering paradigm where the dependency structure is graphical and can be learned readily from data.
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Chung Chan, Ali Al-Bashabsheh, Qiaoqiao Zhou. 2017-02-01. Info-Clustering: An Efficient Algorithm by Network Information Flow. https://arxiv.org/abs/1702.00109
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