CLAG: An unsupervised non hierarchical clustering algorithm handling biological data

CLAG (for CLusters AGgregation) is an unsupervised non hierarchical clustering algorithm designed to cluster a large variety of biological data and to provide a clustered matrix and numerical values indicating cluster strength. CLAG clusterizes correlation matrices for residues in protein families, gene-expression and miRNA data related to various cancer types, sets of species described by multidimensional vectors of characters, binary matrices. It does not ask to all data points to cluster and it converges yielding the same result at each run. Its simplicity and speed allows it to run on reasonably large datasets.

Version: 2.18.1
Depends: R (≥ 2.14)
Suggests: clue (≥ 0.3-46)
Published: 2013-09-13
Author: Linda DIB, Raphael CHAMPEIMONT, Alessandra CARBONE
Maintainer: Raphael CHAMPEIMONT <raphael.champeimont at>
License: BSD_2_clause + file LICENSE | GPL-2 | GPL-3 [expanded from: BSD_2_clause + file LICENSE | GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: perl
Materials: NEWS
CRAN checks: CLAG results


Reference manual: CLAG.pdf
Vignettes: CLAG Tutorial
Package source: CLAG_2.18.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: CLAG_2.18.1.tgz, r-oldrel: CLAG_2.18.1.tgz
OS X Mavericks binaries: r-release: CLAG_2.18.1.tgz
Old sources: CLAG archive