Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data.
David BorlandWenyuan WangJonathan ZhangJoshua ShresthaDavid GotzPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- subspace clustering
- high dimensions
- data sets
- high dimensionality
- clustering high dimensional data
- small sample size
- similarity search
- data analysis
- dimension reduction
- original data
- linear discriminant analysis
- data distribution
- manifold learning
- data points
- variable selection
- input space
- complex data
- sparse representation
- high dimensional spaces
- high dimensional datasets
- high dimensional data sets
- lower dimensional
- text data
- image processing
- real world