Unsupervised spectral feature selection algorithms for high dimensional data.
Mingzhao WangHenry HanZhao HuangJuanying XiePublished in: Frontiers Comput. Sci. (2023)
Keyphrases
- high dimensional data
- feature selection algorithms
- data sets
- feature selection
- dimensionality reduction
- high dimensionality
- low dimensional
- nearest neighbor
- high dimensional
- unsupervised learning
- data points
- subspace clustering
- data analysis
- manifold learning
- input space
- feature subset
- feature set
- semi supervised
- selection algorithm
- data distribution
- gene expression data
- linear discriminant analysis
- clustering high dimensional data
- selected features
- supervised learning
- text categorization
- database
- machine learning
- input data
- training data
- missing values
- image processing
- feature space
- computer vision
- genetic algorithm
- text classification
- real world
- neural network
- knn
- informative features
- support vector