HOFS: Higher order mutual information approximation for feature selection in R.
Krzysztof GajowniczekJialin WuSoumyajit GuptaChandrajit BajajPublished in: SoftwareX (2022)
Keyphrases
- mutual information
- higher order
- feature selection
- conditional mutual information
- information theoretic
- information gain
- image registration
- high order
- natural images
- medical image registration
- markov random field
- pairwise
- conditional entropy
- similarity measure
- approximation algorithms
- high dimensionality
- low order
- text categorization
- error bounds
- multimodal image registration
- mutual information maximization
- multi class
- conditional random fields
- data sets
- text classification
- feature set
- information theory
- dimensionality reduction
- selection criterion
- approximation error
- information theoretic measures
- neural network
- machine learning
- training set
- multiresolution
- classification accuracy
- support vector machine
- kullback leibler divergence