H-MDS: a new approach for interactive visualization with multidimensional scaling in the hyperbolic space.
Jörg A. WalterPublished in: Inf. Syst. (2004)
Keyphrases
- multidimensional scaling
- interactive visualization
- low dimensional
- vector space
- multi dimensional scaling
- interactive visual
- latent structure
- data visualization
- principal component analysis
- dimensionality reduction
- euclidean distance
- high dimensional
- cluster analysis
- euclidean space
- information visualization
- data points
- latent semantic indexing
- geodesic distance
- computer vision
- manifold learning
- input space
- linear discriminant analysis
- kernel pca
- singular value decomposition
- high dimensional data
- data structure
- feature extraction
- real world