rEMM: Extensible Markov Model (EMM) for Data Stream Clustering in R

This package implements TRACDS (Temporal Relationships between Clusters for Data Streams) which is a generalization of Extensible Markov Model (EMM). TRACDS adds a temporal or order model to data stream clustering by superimposing a dynamically adapting Markov Chain. This package implements EMM (TRACDS on top of tNN data stream clustering). Development of this package was supported in part by NSF IIS-0948893 and R21HG005912 from the National Human Genome Research Institute.

Version: 1.0-8
Depends: R (≥ 2.10.0), methods, stats, proxy (≥ 0.4-7), MASS, clusterGeneration, igraph
Suggests: graph, Rgraphviz, testthat
Published: 2014-01-14
Author: Michael Hahsler [aut, cre, cph], Margaret H. Dunham [aut, cph]
Maintainer: Michael Hahsler <mhahsler at>
License: GPL-2
NeedsCompilation: yes
Classification/ACM: G.4, H.2.8, I.5.1
Materials: NEWS
CRAN checks: rEMM results


Reference manual: rEMM.pdf
Vignettes: Extensible Markov Model for data stream clustering
Package source: rEMM_1.0-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: rEMM_1.0-8.tgz, r-oldrel: rEMM_1.0-8.tgz
OS X Mavericks binaries: r-release: rEMM_1.0-8.tgz
Old sources: rEMM archive