Nonlinear dimensionality reduction for clustering.
Sotiris K. TasoulisNicos G. PavlidisTeemu RoosPublished in: Pattern Recognit. (2020)
Keyphrases
- nonlinear dimensionality reduction
- high dimensional data
- manifold learning
- k means
- dimensionality reduction
- clustering algorithm
- clustering method
- low dimensional
- data points
- feature extraction
- unsupervised learning
- locally linear embedding
- high dimensionality
- spectral clustering
- maximum variance unfolding
- data sets
- riemannian manifolds
- cluster analysis
- active learning
- computer vision