Graph Embedding Based on Euclidean Distance Matrix and its Applications.
Zhihong LiuHuiyu LiRuixin LiYong ZengJianfeng MaPublished in: CIKM (2021)
Keyphrases
- graph embedding
- distance matrix
- euclidean distance
- dimensionality reduction
- low dimensional
- multidimensional scaling
- semi supervised
- euclidean space
- discriminant analysis
- data representation
- distance measure
- data points
- label information
- distance metric
- geodesic distance
- triangle inequality
- feature representation
- subspace learning
- high dimensional
- dictionary learning
- nearest neighbour
- feature extraction
- data sets
- feature space
- high dimensional data
- principal component analysis
- pattern recognition