Unsupervised kernel parameter estimation by constrained nonlinear optimization for clustering nonlinear biological data.
Hyokyeong LeeRahul SinghPublished in: BIBM (2012)
Keyphrases
- parameter estimation
- nonlinear optimization
- biological data
- high throughput
- unsupervised learning
- nonlinear optimization problems
- starting points
- least squares
- maximum likelihood
- optimization method
- bundle adjustment
- model selection
- data analysis
- clustering algorithm
- statistical models
- em algorithm
- expectation maximization
- markov random field
- data integration
- microarray data
- k means
- clustering method
- statistical methods
- parameter estimation algorithm
- data sources
- knowledge discovery
- semi supervised
- gene regulatory networks
- closed form solutions
- global search
- genetic algorithm
- data sets
- optimization algorithm
- statistical analysis
- feature space
- feature selection