Kernelized Graph-based Multi-view Clustering on High Dimensional Data.
Supratim MannaJessy Rimaya KhonglahAnirban MukherjeeGoutam SahaPublished in: NCC (2020)
Keyphrases
- high dimensional data
- multi view clustering
- multi view
- nearest neighbor
- low dimensional
- dimensionality reduction
- data sets
- high dimensional
- high dimensions
- similarity search
- subspace clustering
- high dimensionality
- data analysis
- data points
- linear discriminant analysis
- semi supervised
- dimension reduction
- high dimensional data sets
- dimensional data
- high dimensional datasets
- nonlinear dimensionality reduction
- sparse representation
- kernel function
- clustering high dimensional data
- manifold learning
- input space
- high dimensional spaces
- pattern recognition
- neural network
- feature space
- pairwise
- input data