Cluster Appearance Glyphs: A Methodology for Illustrating High-Dimensional Data Patterns in 2-D Data Layouts.
Jenny Hyunjung LeeDarius CoelhoKlaus MuellerPublished in: Inf. (2022)
Keyphrases
- feature extraction
- high dimensional data
- dimensionality reduction
- data points
- dimension reduction
- original data
- data sets
- input space
- linear discriminant analysis
- manifold learning
- subspace clustering
- data analysis
- complex data
- high dimensions
- low dimensional
- data distribution
- nearest neighbor
- high dimensionality
- dimensional data
- similarity search
- high dimensional
- pattern recognition
- database
- high dimensional spaces
- high dimensional data sets
- nonlinear dimensionality reduction
- data mining techniques
- variable weighting
- data mining
- lower dimensional
- knowledge discovery
- image data
- input data
- clustering algorithm
- data structure
- computer vision
- missing values
- missing data