Unsupervised Bayesian visualization of high-dimensional data.
Petri KontkanenJussi LahtinenPetri MyllymäkiHenry TirriPublished in: KDD (2000)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- nearest neighbor
- high dimensions
- low dimensional
- high dimensionality
- subspace clustering
- high dimensional
- data sets
- data points
- unsupervised learning
- dimension reduction
- data distribution
- input space
- similarity search
- manifold learning
- high dimensional datasets
- clustering high dimensional data
- original data
- nonlinear dimensionality reduction
- high dimensional spaces
- linear discriminant analysis
- input data
- semi supervised
- sparse representation
- pattern recognition
- subspace learning
- dimensional data
- locally linear embedding
- principal component analysis
- supervised learning
- lower dimensional
- high dimensional data sets