Extending metric multidimensional scaling with Bregman divergences.
Jigang SunMalcolm K. CroweColin FyfePublished in: Pattern Recognit. (2011)
Keyphrases
- multidimensional scaling
- bregman divergences
- mahalanobis distance
- euclidean distance
- fisher information
- kl divergence
- low dimensional
- cost sensitive
- triangle inequality
- loss function
- dimensionality reduction
- geodesic distance
- distance metric
- distance measure
- cluster analysis
- metric learning
- exponential family
- vector space
- nearest neighbor
- distance function
- metric space
- similarity measure
- feature vectors
- principal component analysis
- latent semantic indexing
- machine learning
- similarity search
- euclidean space
- boosting algorithms
- negative matrix factorization
- information retrieval
- feature space
- pairwise
- data mining
- graphical models
- singular value decomposition
- covariance matrix