Clustered Nyström method for large scale manifold learning and dimension reduction.
Kai ZhangJames T. KwokPublished in: IEEE Trans. Neural Networks (2010)
Keyphrases
- dimension reduction
- manifold learning
- low dimensional
- manifold learning algorithm
- high dimensional
- principal component analysis
- high dimensional data
- nonlinear dimensionality reduction
- random projections
- unsupervised learning
- low dimensional manifolds
- discriminative information
- feature extraction
- data sets
- cluster analysis
- high dimensionality
- pairwise
- feature selection
- diffusion maps
- manifold structure
- subspace learning
- support vector machine svm
- dimensionality reduction
- semi supervised
- preprocessing
- machine learning
- geodesic distance
- feature space
- pattern recognition
- principle component analysis
- locality preserving projections
- image data
- manifold embedding
- neural network