BagMeLiF: stable boosting-based hybrid-ensemble feature selection algorithm for high-dimensional data.
Nikita PilnenskiyIvan SmetannikovPublished in: CCRIS (2020)
Keyphrases
- high dimensional data
- feature selection algorithms
- feature selection
- dimensionality reduction
- data sets
- ensemble learning
- ensemble methods
- high dimensionality
- low dimensional
- nearest neighbor
- base classifiers
- regression problems
- high dimensional
- subspace clustering
- feature subset
- data analysis
- feature set
- text categorization
- data points
- ensemble classifier
- clustering high dimensional data
- text classification
- base learners
- knn
- classification accuracy
- feature space
- machine learning
- learning algorithm
- selected features
- support vector machine
- learning models
- decision trees
- k nearest neighbor
- training set
- gene expression data
- training data
- random forest
- model selection
- small sample size
- feature extraction
- selection algorithm
- clustering algorithm
- computer vision
- classification models
- pattern recognition
- microarray data
- real world