Non-linear dimension reduction with tangent bundle approximation.
Jorge G. SilvaJorge S. MarquesJoão Miranda LemosPublished in: ICASSP (4) (2005)
Keyphrases
- nearest neighbor
- dimension reduction
- high dimensional data
- high dimensional
- principal component analysis
- high dimensionality
- data mining and machine learning
- low dimensional
- variable selection
- feature extraction
- linear discriminant analysis
- high dimensional problems
- partial least squares
- random projections
- manifold learning
- dimension reduction methods
- discriminative information
- feature selection
- singular value decomposition
- dimensionality reduction
- high dimensional data analysis
- unsupervised learning
- preprocessing
- feature subspace
- machine learning
- cluster analysis
- feature space
- image sequences
- decision trees
- data sets