Nonlinear Dimension Reduction by Local Multidimensional Scaling.
Yuzhe MaKun HeJohn E. HopcroftPan ShiPublished in: FAW (2016)
Keyphrases
- multidimensional scaling
- nonlinear dimension reduction
- manifold learning
- low dimensional
- dimensionality reduction
- latent structure
- geodesic distance
- high dimensional
- cluster analysis
- euclidean distance
- dimension reduction
- feature space
- semi supervised
- high dimensional data
- kernel pca
- neural network
- principal component analysis
- vector space
- least squares
- input space
- unsupervised learning
- support vector machine
- pairwise
- pattern recognition
- feature extraction
- data sets