Multidimensional Scaling by Deterministic Annealing.
Hansjörg KlockJoachim M. BuhmannPublished in: EMMCVPR (1997)
Keyphrases
- multidimensional scaling
- deterministic annealing
- data clustering
- cluster analysis
- global optimization
- low dimensional
- objective function
- free energy
- semi supervised
- em algorithm
- euclidean distance
- dimensionality reduction
- latent semantic indexing
- vector space
- kernel pca
- principal component analysis
- k means
- data mining techniques
- expectation maximization
- image processing
- high dimensional
- unsupervised learning
- high dimensional data
- active learning
- similarity measure