A Bayesian alternative to mutual information for the hierarchical clustering of dependent random variables.
Guillaume MarrelecArnaud MesséPierre BellecPublished in: CoRR (2015)
Keyphrases
- hierarchical clustering
- random variables
- mutual information
- bayesian networks
- independent and identically distributed
- graphical models
- statistically independent
- probability distribution
- clustering method
- information theoretic
- latent variables
- similarity measure
- distribution function
- posterior distribution
- image registration
- clustering algorithm
- normal distribution
- stochastic optimization problems
- joint distribution
- incremental clustering
- feature selection
- joint probability distributions
- conditional probabilities
- conditional independence
- single link
- directed acyclic graph
- joint probability distribution
- k means
- partitional clustering
- hierarchical clustering algorithms
- failure rate
- marginal distributions
- hierarchical clustering algorithm
- conditional distributions
- identically distributed
- single linkage
- model based clustering
- feature space
- cluster ensemble
- random vectors