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 lyle.smu.edu>
License: GPL-2
URL: http://R-Forge.R-project.org/projects/remm/, http://lyle.smu.edu/IDA/TRACDS/
NeedsCompilation: yes
Classification/ACM: G.4, H.2.8, I.5.1
Materials: NEWS
CRAN checks: rEMM results

Downloads:

Reference manual: rEMM.pdf
Vignettes: Extensible Markov Model for data stream clustering
Package source: rEMM_1.0-8.tar.gz
MacOS X binary: rEMM_1.0-8.tgz
Windows binary: rEMM_1.0-8.zip
Old sources: rEMM archive