Unsupervised Learning Of Bayesian Networks Via Estimation Of Distribution Algorithms: An Application To Gene Expression Data Clustering.
José M. PeñaJosé Antonio LozanoPedro LarrañagaPublished in: Int. J. Uncertain. Fuzziness Knowl. Based Syst. (2004)
Keyphrases
- data clustering
- gene expression
- unsupervised learning
- estimation of distribution algorithms
- bayesian networks
- feature subset selection
- microarray
- evolutionary computation
- gene expression data
- particle swarm optimization algorithm
- evolutionary algorithm
- multi objective
- genetic programming
- genetic algorithm
- microarray data
- combinatorial optimization
- feature selection
- supervised learning
- multi objective optimization
- particle swarm optimization
- cluster analysis
- self organizing maps
- machine learning
- gene expression patterns
- probabilistic model
- semi supervised
- expectation maximization
- combinatorial optimization problems
- graphical models
- continuous domains
- simulated annealing
- conditional independence
- dimensionality reduction
- gene expression analysis
- text classification
- structure learning
- probability distribution
- fitness function
- gene expression profiles
- model selection
- image segmentation
- feature extraction
- data sets
- reinforcement learning
- objective function
- pattern recognition
- object recognition
- data analysis
- feature vectors
- random variables