Hybrid fast unsupervised feature selection for high-dimensional data.
Zhaleh ManbariFardin Akhlaghian TabChiman SalavatiPublished in: Expert Syst. Appl. (2019)
Keyphrases
- genetic programming
- high dimensional data
- unsupervised feature selection
- dimensionality reduction
- low dimensional
- high dimensional
- high dimensionality
- cluster structure
- data matrix
- feature selection
- nearest neighbor
- data points
- original data
- data sets
- subspace clustering
- similarity search
- low rank
- missing values
- dimension reduction
- sparse representation
- data analysis
- data clustering
- manifold learning
- data distribution
- linear discriminant analysis
- unsupervised learning
- gene expression data
- principal components
- pattern recognition
- feature extraction
- pairwise
- principal component analysis
- data mining applications
- euclidean distance
- data representation
- input data