Using multiple attribute-based explanations of multidimensional projections to explore high-dimensional data.
Zonglin TianXiaorui ZhaiDaan van DrielGijs van SteenpaalMateus EspadotoAlexandru C. TeleaPublished in: Comput. Graph. (2021)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- high dimensions
- high dimensional
- data sets
- high dimensionality
- low dimensional
- similarity search
- subspace clustering
- dimension reduction
- clustering high dimensional data
- input space
- data analysis
- complex data
- data distribution
- original data
- manifold learning
- dimensional data
- high dimensional datasets
- multi dimensional
- lower dimensional
- pattern recognition
- linear discriminant analysis
- low rank
- high dimensional data sets
- locally linear embedding
- multiple types
- data mining
- small sample size
- high dimensional spaces
- subspace learning
- sparse representation
- text data
- feature space