Dimensionality reduction on Anchorgraph with an efficient Locality Preserving Projection.
Rui JiangWeijie FuLi WenShijie HaoRichang HongPublished in: Neurocomputing (2016)
Keyphrases
- dimensionality reduction
- locality preserving projections
- locality preserving
- principal component analysis
- neighborhood preserving embedding
- manifold learning
- subspace learning
- low dimensional
- pattern recognition
- linear discriminant analysis
- high dimensional data
- data representation
- high dimensional
- high dimensionality
- unsupervised learning
- feature space
- data points
- locally linear embedding
- feature selection
- dimensionality reduction methods
- euclidean distance
- feature extraction
- principal components
- semi supervised
- face recognition
- discriminant analysis
- lower dimensional
- singular value decomposition
- subspace methods
- manifold structure
- data sets