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Reducing over-clustering via the powered Chinese restaurant process

Reducing over-clustering via the powered Chinese restaurant process

15 February 2018
Jun Lu
Meng Li
David B. Dunson
ArXiv (abs)PDFHTML

Papers citing "Reducing over-clustering via the powered Chinese restaurant process"

3 / 3 papers shown
Title
Why the Rich Get Richer? On the Balancedness of Random Partition Models
Why the Rich Get Richer? On the Balancedness of Random Partition ModelsInternational Conference on Machine Learning (ICML), 2022
Changwoo J. Lee
H. Sang
309
8
0
30 Jan 2022
Spatial Clustering Regression of Count Value Data via Bayesian Mixture
  of Finite Mixtures
Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite MixturesKnowledge Discovery and Data Mining (KDD), 2020
P. Zhao
Hou‐Cheng Yang
D. Dey
Guanyu Hu
115
7
0
16 Feb 2020
Neural Clustering Processes
Neural Clustering Processes
Ari Pakman
Yueqi Wang
Catalin Mitelut
JinHyung Lee
Liam Paninski
BDL
264
5
0
28 Dec 2018
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