Finite mixture models do not reliably learn the number of components

8 July 2020

Papers citing "Finite mixture models do not reliably learn the number of components"

5 / 5 papers shown

Title
Consistency of Graphical Model-based Clustering: Robust Clustering using Bayesian Spanning Forest Yu Zheng Leo L. Duan Arkaprava Roy 25 0 0 27 Sep 2024
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 22 3 0 17 Mar 2023
Bayesian mixture models (in)consistency for the number of clusters Louise Alamichel D. Bystrova Julyan Arbel Guillaume Kon Kam King 33 5 0 25 Oct 2022
Consistency of mixture models with a prior on the number of components Jeffrey W. Miller 20 73 0 06 May 2022
Selective inference for k-means clustering Yiqun T. Chen Daniela Witten 12 42 0 29 Mar 2022