Spectral Methods for Linear and Non-Linear Semi-Supervised Dimensionality Reduction
Ratthachat ChatpatanasiriPublished in: CoRR (2008)
Keyphrases
- spectral methods
- semi supervised dimensionality reduction
- manifold learning
- semi supervised
- dimensionality reduction
- spectral analysis
- random walk
- graph embedding
- low dimensional
- spectral clustering
- semi supervised learning
- graph partitioning
- high dimensional
- eigendecomposition
- pairwise
- labeled data
- data mining applications
- subspace learning
- unsupervised learning
- unlabeled data
- supervised learning
- high dimensional data
- generative model
- principal component analysis
- graph clustering
- feature extraction
- dimension reduction
- neural network
- data points
- data analysis
- pattern recognition
- clustering algorithm
- computer vision