Combining Multiple Feature-Ranking Techniques and Clustering of Variables for Feature Selection.
Anwar Ul HaqDefu ZhangHe PengSami ur RahmanPublished in: IEEE Access (2019)
Keyphrases
- feature ranking
- combining multiple
- feature selection
- cluster ensemble
- high dimensionality
- feature subset
- text categorization
- feature subset selection
- support vector machine
- consensus clustering
- unsupervised learning
- combining multiple clusterings
- clustering ensemble
- clustering method
- classification models
- dimensionality reduction
- k means
- high dimensional
- support vector
- feature selection algorithms
- missing values
- clustering algorithm
- cluster analysis
- random forest
- feature extraction
- feature space
- selected features
- gene expression data
- hierarchical clustering
- text classification
- fold cross validation
- microarray datasets
- neural network
- similarity measure
- ensemble learning
- pattern recognition
- text clustering
- multi layer perceptron
- model selection
- classification accuracy
- k nearest neighbor