elbamos/largeVis: High-Quality Visualizations of Large, High-Dimensional Datasets
Implements the largeVis algorithm (see Tang, et al. (2016) <DOI:10.1145/2872427.2883041>) for visualizing very large high-dimensional datasets. Also very fast search for approximate nearest neighbors; outlier detection; and optimized implementations of the HDBSCAN*, DBSCAN and OPTICS clustering algorithms; plotting functions for visualizing the above.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Amos B. Elberg |
| Maintainer | Amos Elberg <amos.elberg@gmail.com> |
| License | GPL-3 |
| Version | 0.2.2 |
| URL | https://github.com/elbamos/largeVis |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
