Lossless Visual Knowledge Discovery in High Dimensional Data with Elliptic Paired Coordinates.
Rose McDonaldBoris KovalerchukPublished in: IV (2020)
Keyphrases
- high dimensional data
- knowledge discovery
- data analysis
- visual data
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensionality
- subspace clustering
- high dimensions
- high dimensional
- data sets
- similarity search
- original data
- lower dimensional
- data points
- dimension reduction
- clustering high dimensional data
- data distribution
- input space
- dimensional data
- machine learning
- data mining
- sparse representation
- small sample size
- high dimensional datasets
- visual features
- visual information
- databases
- high dimensional data sets
- high dimensional spaces
- pattern recognition
- association rules
- linear discriminant analysis
- text mining
- text data
- nonlinear dimensionality reduction
- complex data
- subspace learning
- similarity measure
- image processing
- computer vision
- real world