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A penalized criterion for selecting the number of clusters for K-medians

A penalized criterion for selecting the number of clusters for K-medians

8 September 2022
Antoine Godichon-Baggioni
Sobihan Surendran
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Papers citing "A penalized criterion for selecting the number of clusters for K-medians"

2 / 2 papers shown
Title
Genie: A new, fast, and outlier-resistant hierarchical clustering
  algorithm
Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm
M. Gagolewski
Maciej Bartoszuk
Anna Cena
35
72
0
13 Sep 2022
Data-driven calibration of penalties for least-squares regression
Data-driven calibration of penalties for least-squares regression
Sylvain Arlot
P. Massart
152
159
0
06 Feb 2008
1