Unsupervised Feature Selection Based on 3-D Feature Decision Graph for High-dimensional Data.
Hong JiaYubin WengPublished in: ACAI (2022)
Keyphrases
- high dimensional data
- unsupervised feature selection
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- high dimensionality
- data points
- data sets
- subspace clustering
- feature selection
- original data
- data clustering
- manifold learning
- cluster structure
- feature subset
- low rank
- data analysis
- dimension reduction
- similarity search
- data distribution
- sparse representation
- feature vectors
- data matrix
- missing values
- feature set
- principal component analysis
- feature space
- linear discriminant analysis
- machine learning
- data representation
- classification accuracy
- pattern recognition
- decision trees