Massive Parallelization Boosts Big Bayesian Multidimensional Scaling.
Andrew J. HolbrookPhilippe LemeyGuy BaeleSimon DellicourDirk BrockmannAndrew RambautMarc A. SuchardPublished in: J. Comput. Graph. Stat. (2021)
Keyphrases
- multidimensional scaling
- low dimensional
- latent structure
- cluster analysis
- dimensionality reduction
- bayesian networks
- euclidean distance
- latent semantic indexing
- principal component analysis
- maximum likelihood
- kernel pca
- clustering method
- vector space
- data analysis
- machine learning
- probabilistic model
- manifold learning
- training data
- clustering algorithm
- information retrieval