Knowledge Discovery in High-Dimensional Data: Case Studies and a User Survey for the Rank-by-Feature Framework.
Jinwook SeoBen ShneidermanPublished in: IEEE Trans. Vis. Comput. Graph. (2006)
Keyphrases
- high dimensional data
- case study
- knowledge discovery
- low dimensional
- dimensionality reduction
- high dimensional
- nearest neighbor
- data points
- dimension reduction
- high dimensionality
- complex data
- data analysis
- clustering high dimensional data
- data sets
- multiple features
- similarity search
- high dimensions
- manifold learning
- neural network
- linear discriminant analysis
- machine learning
- real world
- original data
- input space
- subspace clustering
- text mining
- subspace learning
- high dimensional datasets
- high dimensional data sets
- high dimensional data analysis