sneumann/MCUPGMAR: Accurate hierarchical clustering for huge data

The MC-UPGMA (Memory Constrained UPGMA) framework allows accurate hierarchical clustering of huge data, i.e. too large to fit into memory for conventional clustering algorithms.

Getting started

Package details

AuthorLoewenstein Y <[email protected]>, Corey Broeckling <[email protected]>, Steffen Neumann <[email protected]>
Bioconductor views Clustering
MaintainerSteffen Neumann <[email protected]>, Corey Broeckling <[email protected]>
LicenseGPL (>= 3)
Version0.1.0
URL http://www.protonet.cs.huji.ac.il/mcupgma/
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("sneumann/MCUPGMAR")
sneumann/MCUPGMAR documentation built on May 26, 2017, 1:22 p.m.