Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data.
Carina NewenEmmanuel MüllerPublished in: ICDM (Workshops) (2022)
Keyphrases
- high dimensional data
- data analysis
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- data sets
- high dimensions
- high dimensionality
- subspace clustering
- original data
- manifold learning
- data points
- unsupervised learning
- similarity search
- input space
- data distribution
- clustering high dimensional data
- linear discriminant analysis
- dimension reduction
- input data
- dimensional data
- small sample size
- semi supervised
- sparse representation
- text data
- lower dimensional
- high dimensional spaces
- underlying manifold
- similarity measure
- subspace learning
- knn
- nonlinear dimensionality reduction