Posterior Regularisation on Bayesian Hierarchical Mixture Clustering.
Weipéng HuángTin Lok James NgNishma LaitonjamNeil J. HurleyPublished in: CoRR (2021)
Keyphrases
- mixture modeling
- nonparametric bayesian
- hierarchical clustering
- posterior probability
- posterior distribution
- unsupervised learning
- clustering algorithm
- clustering method
- k means
- probability distribution
- expectation maximization
- self organizing maps
- cluster analysis
- mixture model
- bayesian framework
- categorical data
- feature selection
- maximum likelihood
- bayesian networks
- markov chain monte carlo
- gaussian processes
- gaussian distribution
- prior knowledge
- probabilistic model
- document clustering
- model selection