An Empirical Study of Several Information Theoretic Based Feature Extraction Methods for Classifying High Dimensional Low Sample Size Data.
Sheena Leeza VergheseIman Yi LiaoTomás Henrique MaulSiang Yew ChongPublished in: IEEE Access (2021)
Keyphrases
- information theoretic
- sample size
- mutual information
- data sets
- high dimensional
- statistical power
- information theoretic measures
- data points
- training data
- data structure
- entropy measure
- small samples
- learning theory
- high dimensional data
- jensen shannon divergence
- statistical methods
- model selection
- image registration
- support vector machine
- similarity measure