Bayesian Hyperbolic Multidimensional Scaling.
Bolun LiuShane LuboldAdrian E. RafteryTyler H. McCormickPublished in: CoRR (2022)
Keyphrases
- multidimensional scaling
- low dimensional
- latent structure
- euclidean distance
- cluster analysis
- dimensionality reduction
- vector space
- kernel pca
- bayesian networks
- principal component analysis
- high dimensional
- maximum likelihood
- data mining
- input data
- manifold learning
- input space
- geodesic distance
- latent semantic indexing
- language model
- clustering algorithm
- computer vision