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: J. Mach. Learn. Res. (2021)
Keyphrases
- dimension reduction
- data visualization
- information visualization
- data exploration
- data analysis
- high dimensional
- visual data mining
- singular value decomposition
- high dimensional data
- principal component analysis
- data mining
- feature extraction
- low dimensional
- interactive visual
- interactive visualization
- cluster analysis
- linear discriminant analysis
- dimensionality reduction
- graphical display
- knowledge discovery
- feature space
- big data
- visualization tools
- feature selection
- manifold learning
- preprocessing
- unsupervised learning
- high dimensionality
- parallel coordinates
- machine learning
- database