Data-driven Kernel Subspace Clustering with Local Manifold Preservation.
Kunpeng XuLifei ChenShengrui WangPublished in: ICDM (Workshops) (2022)
Keyphrases
- subspace clustering
- data driven
- high dimensional
- high dimensional data
- linear subspace
- feature space
- low dimensional
- kernel function
- clustering method
- clustering high dimensional data
- subspace clusters
- manifold learning
- high dimensionality
- clustering algorithm
- input space
- euclidean space
- subspace projections
- component analysis
- kernel methods
- data sets
- support vector
- parameter space
- metric space
- lower dimensional
- data analysis
- subgraph mining
- dimensionality reduction
- data points
- low dimensional spaces