Mrmr+ and Cfs+ feature selection algorithms for high-dimensional data.
Adrian Pino AnguloKilho ShinPublished in: Appl. Intell. (2019)
Keyphrases
- high dimensional data
- feature selection algorithms
- data sets
- feature selection
- dimensionality reduction
- nearest neighbor
- high dimensionality
- high dimensional
- low dimensional
- subspace clustering
- data points
- data analysis
- linear discriminant analysis
- original data
- feature set
- data distribution
- missing values
- selection algorithm
- selected features
- real world
- gene expression data
- input space
- input data
- informative features
- clustering high dimensional data
- learning models
- training data
- small sample size