An efficient random forests algorithm for high dimensional data classification.
Qiang WangThanh-Tung NguyenJoshua Zhexue HuangThuy Thi NguyenPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- high dimensional data
- random forests
- regression problems
- subspace clustering
- classification algorithm
- support vector machine svm
- dimension reduction
- logistic regression
- decision trees
- regression forests
- similarity measure
- high dimensional
- machine learning algorithms
- dimensionality reduction
- random forest
- high dimensionality
- input data
- image classification
- k means
- locally linear embedding
- image processing
- feature selection
- tree ensembles
- subspace learning
- single pass
- data sets
- manifold learning
- particle swarm optimization
- support vector machine
- classification accuracy
- feature vectors
- training set
- feature extraction
- learning algorithm