On Dimensionality of Embedding Space in Multidimensional Scaling.
Julius ZilinskasPublished in: Informatica (2008)
Keyphrases
- multidimensional scaling
- embedding space
- dimensionality reduction
- low dimensional
- high dimensional
- manifold learning
- geodesic distance
- feature space
- high dimensional data
- input space
- data points
- euclidean space
- principal component analysis
- euclidean distance
- high dimensionality
- pattern recognition
- feature extraction
- dimension reduction
- feature selection
- kernel pca
- vector space
- linear discriminant analysis
- similarity search
- unsupervised learning
- singular value decomposition
- distance function
- metric learning
- query processing
- machine learning