DADR: Deep adaptive dimensionality reduction architecture based on the coefficient of variation.
Xuemei DingJielei ChuDao XiangTianrui LiPublished in: CCIS (2022)
Keyphrases
- dimensionality reduction
- management system
- data representation
- high dimensional data
- learning capabilities
- feature extraction
- network architecture
- principal components
- high dimensional
- data points
- principal component analysis
- structure preserving
- low dimensional
- computer vision
- feature space
- knowledge base
- linear discriminant analysis
- high dimensionality
- learning algorithm
- machine learning
- lower dimensional
- databases
- data sets