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A New Notion of Individually Fair Clustering: $α$-Equitable
  $k$-Center

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

9 June 2021
D. Chakrabarti
John P. Dickerson
Seyed-Alireza Esmaeili
A. Srinivasan
Leonidas Tsepenekas
    FaML
    FedML
ArXivPDFHTML

Papers citing "A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center"

6 / 6 papers shown
Title
A review of clustering models in educational data science towards
  fairness-aware learning
A review of clustering models in educational data science towards fairness-aware learning
Tai Le Quy
Gunnar Friege
Eirini Ntoutsi
FaML
32
14
0
09 Jan 2023
Cluster-level Group Representativity Fairness in $k$-means Clustering
Cluster-level Group Representativity Fairness in kkk-means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
27
0
0
29 Dec 2022
Constant-Factor Approximation Algorithms for Socially Fair
  $k$-Clustering
Constant-Factor Approximation Algorithms for Socially Fair kkk-Clustering
Mehrdad Ghadiri
Mohit Singh
Santosh Vempala
21
10
0
22 Jun 2022
Generalized Reductions: Making any Hierarchical Clustering Fair and
  Balanced with Low Cost
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
Marina Knittel
Max Springer
John P. Dickerson
Mohammadtaghi Hajiaghayi
FedML
31
5
0
27 May 2022
Feature-based Individual Fairness in k-Clustering
Feature-based Individual Fairness in k-Clustering
Debajyoti Kar
Mert Kosan
Debmalya Mandal
Sourav Medya
A. Silva
P. Dey
Swagato Sanyal
FaML
39
10
0
09 Sep 2021
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Efficient Algorithms For Fair Clustering with a New Fairness Notion
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
70
8
0
02 Sep 2021
1