Subspace Least Squares Multidimensional Scaling.
Amit BoyarskiAlexander M. BronsteinMichael M. BronsteinPublished in: CoRR (2017)
Keyphrases
- multidimensional scaling
- least squares
- low dimensional
- principal component analysis
- dimensionality reduction
- kernel pca
- high dimensional
- high dimensional data
- latent structure
- vector space
- manifold learning
- dimension reduction
- data points
- euclidean space
- euclidean distance
- feature space
- optical flow
- cluster analysis
- singular value decomposition
- input space
- latent semantic indexing
- kernel function
- unsupervised learning
- pattern recognition
- information retrieval
- machine learning