An efficient feature selection framework based on information theory for high dimensional data.
G. ManikandanS. AbiramiPublished in: Appl. Soft Comput. (2021)
Keyphrases
- high dimensional data
- information theory
- dimensionality reduction
- feature selection
- high dimensionality
- information theoretic
- nearest neighbor
- low dimensional
- high dimensional
- dimension reduction
- jensen shannon divergence
- data points
- manifold learning
- conditional entropy
- statistical learning
- data sets
- lower dimensional
- data analysis
- subspace clustering
- similarity search
- dimensional data
- high dimensional spaces
- information geometry
- clustering high dimensional data
- principal component analysis
- support vector
- computer vision
- machine learning
- linear discriminant analysis
- missing values
- feature selection algorithms
- input data
- training set
- decision trees
- image processing