A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.
Francisco de A. T. de CarvalhoMarcelo Rodrigo Portela FerreiraEduardo C. SimõesPublished in: ISNN (2016)
Keyphrases
- hyperparameters
- clustering algorithm
- support vector
- maximum likelihood
- model selection
- cross validation
- bayesian inference
- random sampling
- gaussian process
- closed form
- em algorithm
- posterior distribution
- bayesian framework
- variational bayes
- noise level
- prior information
- incremental learning
- sample size
- feature selection
- bayesian methods
- missing values
- maximum a posteriori
- support vector machine
- parameter space
- gaussian mixture model
- training set
- data mining