Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.
David BorlandWenyuan WangJonathan ZhangJoshua ShresthaDavid GotzPublished in: IEEE Trans. Vis. Comput. Graph. (2020)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- data analysis
- high dimensionality
- subspace clustering
- data sets
- small sample size
- high dimensions
- input space
- original data
- clustering high dimensional data
- complex data
- dimension reduction
- similarity search
- high dimensional datasets
- data distribution
- lower dimensional
- high dimensional spaces
- data points
- variable selection
- linear discriminant analysis
- manifold learning
- sparse representation
- model selection
- input data
- pattern recognition
- outlier detection
- text data
- subspace learning
- dimensional data
- text mining
- feature space
- nonlinear dimensionality reduction
- real world