Feature Selection for Classification using Principal Component Analysis and Information Gain.
Erick Odhiambo OmuyaGeorge Onyango OkeyoMichael W. KimwelePublished in: Expert Syst. Appl. (2021)
Keyphrases
- information gain
- feature selection
- decision trees
- principal component analysis
- text categorization
- classification accuracy
- chi squared
- chi square
- feature space
- feature subset
- feature reduction
- feature extraction
- text classification
- feature selection algorithms
- support vector machine
- dimensionality reduction
- attribute selection
- high dimensionality
- mutual information
- classification models
- naive bayes
- feature set
- support vector
- document frequency
- correlation based feature selection
- model selection
- image classification
- decision tree learners
- machine learning
- multi class
- unsupervised learning
- occurrence frequency
- pattern recognition
- training set
- neural network
- feature ranking
- natural language processing
- principal components
- machine learning algorithms
- feature vectors
- random forest
- face recognition
- computer vision
- logistic regression
- data sets