It looks like there's only one paper in this tag, so it's history isn't too exciting, but you can still check it out below!
April 2024
Clustering based on similarity across networks
This paper introduces a new clustering model that uses similarity information across multiple networks to find clusters that are consistent across all the networks. The model aims to minimize disagreements between the clustering and the similarity information on each network. The paper gives approximation algorithms for the problem, including an O(L log n) approximation...
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