I-mRMR: Incremental Max-Relevance, and Min-Redundancy Feature Selection.
Yeliang XiuSuyun ZhaoHong ChenCuiping LiPublished in: APWeb/WAIM (2) (2019)
Keyphrases
- minimum redundancy
- feature selection
- feature selection algorithms
- mutual information
- feature extraction
- feature space
- high dimensionality
- text categorization
- neural network
- support vector
- naive bayes
- dimensionality reduction
- text classification
- irrelevant features
- machine learning
- multi class
- feature set
- model selection
- support vector machine
- classification accuracy
- search engine
- unsupervised learning
- data sets
- knn
- microarray data
- feature subset
- information gain
- selected features
- feature subset selection
- bayesian networks
- incremental version
- decision trees