Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs.
Dongfang ZhaoLi YangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2009)
Keyphrases
- neighborhood graph
- manifold learning
- high dimensional data
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- high dimensional
- geodesic distance
- data points
- multidimensional scaling
- dimension reduction
- high dimensionality
- nearest neighbor
- vector space
- subspace clustering
- data distribution
- low dimensional structure
- latent space
- data analysis
- similarity search
- subspace learning
- data sets
- sparse representation
- input space
- locally linear embedding
- euclidean space
- low rank
- lower dimensional
- linear discriminant analysis
- manifold structure
- pattern recognition
- principal component analysis
- data mining
- computer vision
- feature extraction
- feature selection
- face recognition
- riemannian manifolds
- supervised learning
- distance function