A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data.
Marcus ChenIvor W. TsangMingkui TanCham Tat JenPublished in: IEEE Trans. Knowl. Data Eng. (2015)
Keyphrases
- high dimensional data
- graph embedding
- dimensionality reduction
- low dimensional
- feature selection
- high dimensionality
- high dimensional
- subspace learning
- dimension reduction
- nearest neighbor
- subspace clustering
- manifold learning
- data points
- unsupervised learning
- data sets
- principal component analysis
- similarity search
- data distribution
- linear discriminant analysis
- input space
- data analysis
- sparse representation
- feature space
- feature extraction
- machine learning
- multi dimensional
- text categorization
- knn
- discriminant analysis
- classification accuracy