A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification.
Yuhong XuZhiwen YuWenming CaoC. L. Philip ChenPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- high dimensional data
- ensemble methods
- ensemble classifier
- high dimensionality
- individual classifiers
- low dimensional
- classifier ensemble
- decision trees
- dimensionality reduction
- multilabel classification
- nearest neighbor
- subspace clustering
- feature space
- high dimensional
- clustering high dimensional data
- machine learning methods
- classification algorithm
- regression problems
- base learners
- ensemble learning
- benchmark datasets
- class labels
- training set
- feature selection
- data analysis
- pattern recognition
- input space
- support vector machine
- feature set
- original data
- data points
- lower dimensional
- data sets
- classification models
- svm classifier
- prediction accuracy
- training samples
- support vector
- subspace learning
- classification accuracy
- feature subset
- input data
- base classifiers
- random forest
- feature extraction
- manifold learning
- feature vectors
- data distribution
- image classification
- principal component analysis
- learning algorithm
- concept drift
- linear discriminant analysis
- training data
- training process
- subspace methods
- text classification
- machine learning
- data streams
- hyperplane
- cost sensitive
- knn