K-associated optimal network for graph embedding dimensionality reduction.
Murillo G. CarneiroThiago Henrique CupertinoLiang ZhaoPublished in: IJCNN (2014)
Keyphrases
- graph embedding
- dimensionality reduction
- low dimensional
- data representation
- discriminant analysis
- high dimensional
- subspace learning
- semi supervised
- high dimensional data
- pattern recognition
- embedding space
- linear discriminant analysis
- dictionary learning
- feature extraction
- feature space
- principal component analysis
- discriminant embedding
- unsupervised learning
- manifold learning
- geometric properties
- nearest neighbor
- data points
- label information
- pairwise
- supervised dimensionality reduction
- semi supervised dimensionality reduction