Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification.
Shadi AbpeykarMehdi GhateeHadi ZarePublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- high dimensional data
- decision forest
- high dimensionality
- rbf network
- regression problems
- data points
- nearest neighbor
- dimensionality reduction
- subspace clustering
- high dimensional
- low dimensional
- data analysis
- data sets
- feature vectors
- radial basis function
- feature set
- clustering high dimensional data
- decision trees
- training set
- pattern recognition
- learning algorithm
- random forests
- classification accuracy
- support vector
- neural network
- support vector machine
- feature space
- input data
- support vector machine svm
- clustering method
- machine learning algorithms
- feature selection
- particle swarm optimization
- model selection
- unsupervised learning
- training samples
- machine learning
- active learning
- random forest
- knn
- base classifiers
- multilayer perceptron
- feature subset
- feature extraction
- training data
- cluster analysis
- machine learning methods
- image classification
- k nearest neighbor