Lossless Interpretable Glyphs for Visual Knowledge Discovery in High-Dimensional Data.
Nicholas CutlipBoris KovalerchukPublished in: IV (2023)
Keyphrases
- high dimensional data
- knowledge discovery
- data analysis
- visual data
- high dimensional
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- high dimensions
- data sets
- dimension reduction
- input space
- subspace clustering
- similarity search
- data distribution
- clustering high dimensional data
- linear discriminant analysis
- data points
- visual information
- nonlinear dimensionality reduction
- variable selection
- original data
- text mining
- manifold learning
- high dimensional datasets
- lower dimensional
- outlier detection
- complex data
- visual features
- database
- sparse representation
- high dimensional spaces
- image processing
- information retrieval
- input data
- association rules
- pattern recognition
- small sample size
- machine learning
- variable weighting