CatNetVis: Semantic Visual Exploration of Categorical High-Dimensional Data with Force-Directed Graph Layouts.
Michael ThaneKai M. BlumDirk J. LehmannPublished in: EuroVis (Short Papers) (2023)
Keyphrases
- high dimensional data
- directed graph
- visual exploration
- dimensionality reduction
- nearest neighbor
- high dimensional
- low dimensional
- data analysis
- random walk
- high dimensionality
- exploratory analysis
- subspace clustering
- data sets
- visualization tool
- similarity search
- data points
- clustering high dimensional data
- manifold learning
- graph structure
- visualization tools
- high dimensional spaces
- locally linear embedding
- high dimensional datasets
- strongly connected
- directed edges
- pattern recognition
- computer vision
- graph properties
- databases
- database systems
- information retrieval
- machine learning
- real world