Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification.
Yuhong XuZhiwen YuWenming CaoC. L. Philip ChenJane YouPublished in: IEEE Trans. Knowl. Data Eng. (2021)
Keyphrases
- high dimensional data
- ensemble methods
- high dimensionality
- ensemble classifier
- individual classifiers
- decision trees
- classifier ensemble
- dimensionality reduction
- high dimensional
- ensemble learning
- generalization ability
- multilabel classification
- machine learning methods
- feature selection
- nearest neighbor
- low dimensional
- support vector
- class labels
- benchmark datasets
- feature subset
- classification algorithm
- feature space
- data points
- prediction accuracy
- subspace clustering
- support vector machine
- input space
- pattern recognition
- classification models
- base learners
- input data
- classification accuracy
- svm classifier
- feature set
- linear discriminant analysis
- regression problems
- data sets
- base classifiers
- training set
- data distribution
- random forests
- machine learning algorithms
- training samples
- machine learning
- feature vectors
- random forest
- feature extraction
- training data
- image classification
- data analysis
- supervised learning
- naive bayes
- support vector machine svm
- text classification
- computer vision
- neural network
- manifold learning
- microarray
- labeled data
- subspace learning
- multi class