Maximum spanning tree based redundancy elimination for feature selection of high dimensional data.
Bharat SinghOm Prakash VyasPublished in: Int. Arab J. Inf. Technol. (2018)
Keyphrases
- high dimensional data
- feature selection
- high dimensionality
- dimensionality reduction
- dimension reduction
- low dimensional
- high dimensional
- data sets
- nearest neighbor
- gene expression data
- high dimensions
- similarity search
- data analysis
- feature space
- subspace clustering
- feature extraction
- data points
- manifold learning
- lower dimensional
- text data
- text categorization
- high dimensional datasets
- input space
- variable selection
- linear discriminant analysis
- sparse representation
- small sample size
- high dimensional spaces
- high dimensional data sets
- data distribution
- original data
- machine learning
- feature subset
- feature set
- neural network
- nonlinear dimensionality reduction
- support vector
- dimensional data
- subspace learning
- input data
- text classification
- database
- selected features
- multi dimensional
- feature selection algorithms
- support vector machine
- preprocessing step
- data mining
- clustering high dimensional data