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2106.05423
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A New Notion of Individually Fair Clustering:
α
α
α
-Equitable
k
k
k
-Center
9 June 2021
D. Chakrabarti
John P. Dickerson
Seyed-Alireza Esmaeili
A. Srinivasan
Leonidas Tsepenekas
FaML
FedML
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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
Tai Le Quy
Gunnar Friege
Eirini Ntoutsi
FaML
32
14
0
09 Jan 2023
Cluster-level Group Representativity Fairness in
k
k
k
-means Clustering
Stanley Simoes
Deepak P
Muiris Maccarthaigh
FaML
27
0
0
29 Dec 2022
Constant-Factor Approximation Algorithms for Socially Fair
k
k
k
-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
Marina Knittel
Max Springer
John P. Dickerson
Mohammadtaghi Hajiaghayi
FedML
29
5
0
27 May 2022
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
Shivam Gupta
Ganesh Ghalme
N. C. Krishnan
Shweta Jain
FaML
67
8
0
02 Sep 2021
1