Graph regularized locally linear embedding for unsupervised feature selection.
Jianyu MiaoTiejun YangLijun SunXuan FeiLingfeng NiuYong ShiPublished in: Pattern Recognit. (2022)
Keyphrases
- unsupervised feature selection
- locally linear embedding
- dimensionality reduction
- manifold learning
- data clustering
- low dimensional
- high dimensional data
- high dimensional
- feature selection
- principal component analysis
- objective function
- feature extraction
- data sets
- dimensional data
- multi dimensional
- pattern recognition
- feature space
- least squares
- high dimensionality
- dimension reduction
- principal components
- computer vision
- geodesic distance
- data mining
- neural network