A mixture model-based approach to the clustering of microarray expression data.
Geoffrey J. McLachlanRichard W. BeanDavid PeelPublished in: Bioinform. (2002)
Keyphrases
- mixture model
- unsupervised learning
- density estimation
- mixture modeling
- model based clustering
- gaussian mixture model
- microarray expression data
- em algorithm
- bayesian information criterion
- probabilistic model
- generative model
- expectation maximization
- k means
- clustering algorithm
- probabilistic mixture model
- language model
- clustering method
- hierarchical clustering
- model selection
- maximum likelihood
- unsupervised classification
- finite mixture model
- microarray
- data points
- supervised learning
- semi supervised
- computer vision
- information retrieval