Feature selection using autoencoders with Bayesian methods to high-dimensional data.
Lei ShuKun HuangWenhao JiangWenming WuHongling LiuPublished in: J. Intell. Fuzzy Syst. (2021)
Keyphrases
- high dimensional data
- bayesian methods
- feature selection
- high dimensionality
- dimensionality reduction
- model selection
- low dimensional
- high dimensional
- machine learning
- nearest neighbor
- subspace clustering
- hyperparameters
- denoising
- data sets
- bayesian framework
- data points
- data analysis
- feature extraction
- feature space
- sparse representation
- unsupervised learning
- clustering high dimensional data
- support vector
- text classification
- knn
- missing values
- input data
- pattern recognition
- text categorization
- machine learning methods
- feature set
- principal component analysis
- multi class
- gaussian processes
- cross validation
- regression model
- feature subset
- multi task
- incomplete data