MICQ-IPSO: An effective two-stage hybrid feature selection algorithm for high-dimensional data.
Xinqian LiJia RenPublished in: Neurocomputing (2022)
Keyphrases
- high dimensional data
- feature selection algorithms
- data sets
- low dimensional
- high dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- subspace clustering
- feature selection
- data analysis
- clustering high dimensional data
- manifold learning
- input data
- missing values
- particle swarm optimization
- data points
- selection algorithm
- genetic programming
- gene expression data
- computer vision
- high dimensional spaces
- high dimensional datasets
- evolutionary algorithm
- search algorithm
- similarity measure
- image processing
- real world