Consensus clustering for Bayesian mixture models.
Stephen ColemanPaul D. W. KirkChris WallacePublished in: BMC Bioinform. (2022)
Keyphrases
- mixture model
- consensus clustering
- maximum likelihood
- clustering ensemble
- gaussian mixture model
- em algorithm
- probabilistic model
- generative model
- density estimation
- generalized em algorithm
- expectation maximization
- cluster ensemble
- k means
- clustering algorithm
- model selection
- unsupervised learning
- probability density function
- combining multiple
- language model
- mixture modeling
- bayesian networks
- decision trees
- missing values
- data sets