elbamos/largeVis: High-Quality Visualizations of Large, High-Dimensional Datasets
Version 0.2.2

Implements the largeVis algorithm (see Tang, et al. (2016) ) 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

Package details

AuthorAmos B. Elberg
MaintainerAmos Elberg <[email protected]>
LicenseGPL-3
Version0.2.2
URL https://github.com/elbamos/largeVis
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("elbamos/largeVis")
elbamos/largeVis documentation built on May 13, 2017, 4:11 p.m.