Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering.
Fariba ZohrizadehMohsen KheirandishfardFarhad KamangarRamtin MadaniPublished in: IJCAI (2019)
Keyphrases
- graph clustering
- dimensionality reduction
- low dimensional
- euclidean space
- manifold learning
- high dimensional data
- high dimensional
- network analysis
- weighted graph
- data points
- clustering method
- principal component analysis
- bipartite graph
- feature extraction
- spectral clustering
- high dimensionality
- euclidean distance
- random walk
- metric space
- link prediction
- multiscale
- geometric structure
- clustering algorithm