Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization.
Yingfan WangHaiyang HuangCynthia RudinYaron ShaposhnikPublished in: CoRR (2020)
Keyphrases
- dimension reduction
- data visualization
- information visualization
- data exploration
- data analysis
- interactive visual
- principal component analysis
- feature extraction
- high dimensional
- interactive visualization
- low dimensional
- visual data mining
- visualization tools
- feature selection
- knowledge discovery
- singular value decomposition
- data mining
- cluster analysis
- linear discriminant analysis
- graphical display
- manifold learning
- high dimensional data
- high dimensionality
- feature space
- big data
- parallel coordinates
- databases
- business intelligence