Feature selection from high dimensional data based on iterative qualitative mutual information.
Arpita NagpalSingh VijendraPublished in: J. Intell. Fuzzy Syst. (2019)
Keyphrases
- high dimensional data
- mutual information
- feature selection
- dimensionality reduction
- high dimensionality
- conditional mutual information
- nearest neighbor
- high dimensional
- low dimensional
- dimension reduction
- subspace clustering
- data sets
- information gain
- high dimensions
- original data
- similarity search
- image registration
- data points
- feature space
- knn
- data analysis
- manifold learning
- feature selection algorithms
- similarity measure
- lower dimensional
- preprocessing step
- clustering high dimensional data
- linear discriminant analysis
- gene expression data
- dimensional data
- input space
- small sample size
- data mining
- missing values
- text categorization
- text classification
- high dimensional datasets
- high dimensional data sets
- support vector
- real world
- subspace learning
- nonlinear dimensionality reduction
- feature extraction
- feature set
- input data
- sparse representation
- neural network
- image processing
- selected features
- classification accuracy
- principal component analysis
- euclidean distance