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20202023
most citedA Pairwise Fair and Community-preserving Approach to k-Center Clustering

10 citations · 15 across the 7 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 2 cited

A New Notion of Individually Fair Clustering: -Equitable -Center

Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili +2

Clustering is a fundamental problem in unsupervised machine learning, and fair variants of it have recently received significant attention due to its societal implications. In this…

cs.LG2021

Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints

Brian Brubach, Darshan Chakrabarti, John P. Dickerson +2

Metric clustering is fundamental in areas ranging from Combinatorial Optimization and Data Mining, to Machine Learning and Operations Research. However, in a variety of situations…