A Fast Manifold Learning Algorithm for Dimensionality Reduction.
Yu LiangFurao ShenJinxi ZhaoYi YangPublished in: ICTAI (2016)
Keyphrases
- manifold learning algorithm
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional
- principal component analysis
- subspace learning
- high dimensionality
- data representation
- unsupervised learning
- random projections
- feature space
- linear discriminant analysis
- preprocessing step
- locally linear embedding
- feature extraction
- dimensionality reduction methods
- high dimensional data
- data points
- feature selection
- dimension reduction
- principal components
- singular value decomposition
- metric learning
- lower dimensional
- pattern recognition
- euclidean distance
- nonlinear manifold
- training set
- principal components analysis
- data analysis