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
Browse package contents
Package details |
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| Author | Loewenstein Y <yaniv100@gmail.com>, Corey Broeckling <Corey.Broeckling@ColoState.EDU>, Steffen Neumann <sneumann@ipb-halle.de> |
| Bioconductor views | Clustering |
| Maintainer | Steffen Neumann <sneumann@ipb-halle.de>, Corey Broeckling <Corey.Broeckling@ColoState.EDU> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | http://www.protonet.cs.huji.ac.il/mcupgma/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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