Performance analysis of neural network topologies and hyperparameters for deep clustering.
Muhammed KucukIsmail UysalPublished in: IJCNN (2020)
Keyphrases
- network topologies
- hyperparameters
- cross validation
- model selection
- network topology
- clustering algorithm
- random sampling
- closed form
- bayesian inference
- bayesian framework
- k means
- support vector
- noise level
- prior information
- maximum a posteriori
- sample size
- incremental learning
- em algorithm
- maximum likelihood
- gaussian processes
- high dimensional data
- incomplete data
- data sets
- training set
- data points
- graph theoretic
- wireless networks
- noisy images
- level set
- worst case
- image processing