Kernelized transformed subspace clustering with geometric weights for non-linear manifolds.
Jyoti MagguAngshul MajumdarPublished in: Neurocomputing (2023)
Keyphrases
- subspace clustering
- high dimensional data
- low dimensional spaces
- high dimensional
- kernel trick
- dimensionality reduction
- low dimensional
- subspace clusters
- geometric structure
- clustering high dimensional data
- clustering method
- manifold learning
- high dimensionality
- feature space
- clustering algorithm
- subspace projections
- kernel function
- fuzzy clustering
- data sets
- nearest neighbor
- clustering approaches
- high dimensional feature space
- k means
- face recognition
- subspace projection
- subgraph mining
- topic models
- euclidean space
- principal component analysis
- data analysis
- learning algorithm