Dimensionality Reduction for Spectral Clustering.
Donglin NiuJennifer G. DyMichael I. JordanPublished in: AISTATS (2011)
Keyphrases
- spectral clustering
- dimensionality reduction
- kernel pca
- data clustering
- clustering method
- pairwise
- high dimensional
- unsupervised learning
- k means
- image segmentation
- feature extraction
- pattern recognition
- principal component analysis
- data representation
- manifold learning
- low dimensional
- high dimensional data
- high dimensionality
- graph laplacian
- data points
- manifold structure
- subspace learning
- evolutionary clustering
- alternative clusterings
- feature selection
- feature space
- clustering algorithm
- pairwise constraints
- linear discriminant analysis
- singular value decomposition
- eigendecomposition
- graph partitioning
- similarity matrix
- multidimensional scaling
- affinity matrix
- constrained spectral clustering
- dimension reduction
- metric learning
- spectral methods
- laplacian matrix
- computer vision