Ensemble method for classification of high-dimensional data.
Yongjun PiaoHyun Woo ParkCheng Hao JinKeun Ho RyuPublished in: BigComp (2014)
Keyphrases
- high dimensional data
- ensemble methods
- high dimensionality
- machine learning methods
- dimensionality reduction
- nearest neighbor
- decision trees
- low dimensional
- high dimensional
- benchmark datasets
- regression problems
- subspace clustering
- data analysis
- pattern recognition
- data points
- prediction accuracy
- manifold learning
- ensemble classifier
- base classifiers
- classification accuracy
- subspace learning
- support vector machine
- image classification
- data sets
- ensemble learning
- base learners
- feature set
- input space
- linear discriminant analysis
- data distribution
- classification algorithm
- class labels
- training set
- feature extraction
- machine learning
- naive bayes
- lower dimensional
- multivariate temporal data
- random forest
- input data
- feature vectors
- feature selection
- principal component analysis
- image processing
- genetic algorithm
- neural network