A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables.
The use of mutual information as a similarity measure in agglomerative hierarchical clustering (AHC) raises an important issue: some correction needs to be applied for the dimensionality of variables. In this work, we formulate the decision of merging dependent multivariate normal variables in an AH...
Main Authors: | Guillaume Marrelec, Arnaud Messé, Pierre Bellec |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4583305?pdf=render |
Similar Items
-
Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities.
by: Arnaud Messé, et al.
Published: (2014-03-01) -
Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination.
by: Yau, C, et al.
Published: (2011) -
Mutual Information-Based Variable Selection on Latent Class Cluster Analysis
by: Andreas Riyanto, et al.
Published: (2022-04-01) -
Bayesian and Quasi-Bayesian Estimators for Mutual Information from Discrete Data
by: Il Memming Park, et al.
Published: (2013-05-01) -
Regency grouping in East Java based on Variable Type of Agriculture uses Hybrid Hierarchical Clustering Via Mutual Cluster Method
by: Sulthan Fikri Mu'afa, et al.
Published: (2020-03-01)