Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data.
Yishi ZhangRuilin ZhuZhijun ChenJie GaoDe XiaPublished in: Eur. J. Oper. Res. (2021)
Keyphrases
- information theoretic
- high dimensional data
- selecting features
- lower bound
- mutual information
- dimensionality reduction
- feature selection
- nearest neighbor
- high dimensionality
- high dimensional
- low dimensional
- data analysis
- similarity search
- data points
- individual features
- redundant features
- feature subset
- data sets
- missing values
- data distribution
- selected features
- sparse representation
- input data
- model selection
- pairwise
- objective function
- machine learning
- microarray
- image classification
- pattern recognition