A duality view of spectral methods for dimensionality reduction.
Lin XiaoJun SunStephen P. BoydPublished in: ICML (2006)
Keyphrases
- spectral methods
- dimensionality reduction
- manifold learning
- random walk
- spectral analysis
- low dimensional
- high dimensional data
- high dimensional
- principal component analysis
- spectral clustering
- high dimensionality
- eigendecomposition
- pattern recognition
- data points
- feature extraction
- dimension reduction
- markov chain
- singular value decomposition
- linear discriminant analysis
- unsupervised learning
- input space
- data mining applications
- multi label
- feature selection
- data analysis
- metric learning
- graph partitioning
- knowledge discovery
- graph construction
- data warehouse
- semi supervised