Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction.
Dietrich KammerMandy KeckThomas GründerAlexander MaaschThomas ThomMartin KleinsteuberRainer GrohPublished in: IEEE Trans. Vis. Comput. Graph. (2020)
Keyphrases
- high dimensional data
- visual exploration
- dimensionality reduction
- low dimensional
- high dimensionality
- exploratory analysis
- high dimensional
- subspace clustering
- similarity search
- manifold learning
- input space
- dimension reduction
- feature extraction
- visualization tool
- data representation
- data sets
- nearest neighbor
- data analysis
- clustering high dimensional data
- subspace learning
- linear discriminant analysis
- data points
- pattern recognition
- feature space
- lower dimensional
- nonlinear dimensionality reduction
- principal component analysis
- high dimensional spaces
- euclidean distance
- feature selection
- high dimensional datasets
- dimensionality reduction methods
- visualization tools
- dimensional data
- random projections
- small sample size
- locally linear embedding
- database