Opportunities and Challenges of Feature Selection Methods for High Dimensional Data: A Review.
Subbiah Siva SankariChinnappan JayakumarPublished in: Ingénierie des Systèmes d Inf. (2021)
Keyphrases
- high dimensional data
- high dimensional
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensionality
- subspace clustering
- high dimensions
- data analysis
- data sets
- dimension reduction
- data points
- similarity search
- sparse representation
- dimensional data
- high dimensional datasets
- complex data
- manifold learning
- lower dimensional
- text data
- clustering high dimensional data
- data distribution
- input space
- subspace learning
- original data
- input data
- small sample size
- nonlinear dimensionality reduction
- high dimensional spaces
- database
- linear discriminant analysis
- high dimensional data sets
- real world
- image processing
- variable selection
- data mining
- feature space
- knowledge discovery
- principal component analysis
- text classification