A new proposal for metric in perceptual multidimensional scaling.
Ondrej SuchStefan BenusPublished in: ICPhS (2015)
Keyphrases
- multidimensional scaling
- fisher information
- euclidean distance
- geodesic distance
- low dimensional
- latent structure
- distance measure
- cluster analysis
- vector space
- metric space
- kernel pca
- distance metric
- dimensionality reduction
- pairwise distances
- euclidean space
- metric learning
- latent semantic indexing
- principal component analysis
- machine learning
- similarity search
- least squares
- data points
- probabilistic model