Variational Graph Embedding and Clustering with Laplacian Eigenmaps.
Zitai ChenChuan ChenZong ZhangZibin ZhengQingsong ZouPublished in: IJCAI (2019)
Keyphrases
- graph embedding
- laplacian eigenmaps
- low dimensional
- dimensionality reduction
- manifold learning
- kernel pca
- nonlinear dimensionality reduction
- clustering algorithm
- high dimensional data
- data points
- discriminant analysis
- semi supervised
- spectral clustering
- data representation
- subspace learning
- cluster analysis
- image segmentation
- document clustering
- clustering method
- high dimensional
- k means
- locally linear embedding
- support vector
- kernel methods
- unsupervised learning
- multi dimensional