Bayesian multidimensional scaling procedure with variable selection.
Lin LinD. K. H. FongPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- variable selection
- multidimensional scaling
- low dimensional
- high dimensional
- cross validation
- input variables
- dimension reduction
- model selection
- cluster analysis
- high dimensional data
- euclidean distance
- vector space
- principal component analysis
- dimensionality reduction
- kernel pca
- ls svm
- maximum likelihood
- manifold learning
- data sets
- feature extraction
- latent semantic indexing
- geodesic distance
- learning algorithm
- bayesian networks
- linear discriminant analysis
- similarity search
- similarity measure
- data points