Low-rank Representation with Adaptive Dimensionality Reduction via Manifold Optimization for Clustering.
Haoran ChenXu ChenHongwei TaoZuhe LiXiao WangPublished in: ACM Trans. Knowl. Discov. Data (2023)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensionality
- manifold learning
- high dimensional data
- high dimensional
- nonlinear dimensionality reduction
- lower dimensional
- unsupervised learning
- low rank representation
- data points
- spectral clustering
- feature space
- locally linear embedding
- affinity matrix
- clustering algorithm
- clustering method
- k means
- feature extraction
- linear subspace
- pattern recognition
- manifold structure
- principal component analysis
- feature selection
- graph laplacian
- dimensionality reduction methods
- euclidean space
- data clustering
- subspace learning
- dimension reduction
- cluster analysis