A developed feature selection method for classification based on united information gain.
Kun NiuHaizhen JiaoZhipeng GaoGuannan JiaGuangyu YangCheng ChengPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Keyphrases
- feature selection
- information gain
- classification accuracy
- feature set
- chi squared
- support vector machine
- decision trees
- feature extraction
- unsupervised learning
- mutual information
- document frequency
- text categorization
- feature space
- benchmark data sets
- support vector
- pattern recognition
- machine learning
- feature subset
- support vector machine svm
- model selection
- similarity measure
- chi square
- naive bayes
- feature selection algorithms
- machine learning algorithms
- high dimensionality
- bayesian networks
- multi class
- neural network
- genetic k means algorithm
- classification models
- optimization algorithm
- text classification
- supervised learning
- computer vision
- information retrieval