PDRLRR: A novel low-rank representation with projection distance regularization via manifold optimization for clustering.
Haoran ChenXu ChenHongwei TaoZuhe LiBoyue WangPublished in: Pattern Recognit. (2024)
Keyphrases
- projection operator
- low rank representation
- spectral clustering
- affinity matrix
- graph laplacian
- clustering method
- clustering algorithm
- distance measure
- data clustering
- distance metric
- k means
- euclidean distance
- distance function
- low rank
- cluster analysis
- hamming distance
- linear subspace
- kernel machines
- unsupervised learning
- low dimensional
- data points
- geodesic distance