Evolutionary Monte Carlo methods for clustering, temperature ladder construction and placement. This package implements methods introduced in Goswami, Liu and Wong (2007) <doi:10.1198/106186007X255072>. The paper above introduced probabilistic genetic-algorithm-style crossover moves for clustering. The paper applied the algorithm to several clustering problems including Bernoulli clustering, biological sequence motif clustering, BIC based variable selection, mixture of Normals clustering, and showed that the proposed algorithm performed better both as a sampler and as a stochastic optimizer than the existing tools, namely, Gibbs sampling, “split-merge” Metropolis-Hastings algorithm, K-means clustering, and the MCLUST algorithm (in the package 'mclust').
| Version: | 1.3 |
| Depends: | R (≥ 1.9.0), MASS, mclust, EMC |
| Published: | 2017-05-04 |
| Author: | Gopi Goswami |
| Maintainer: | Gopi Goswami <grgoswami at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README ChangeLog |
| CRAN checks: | EMCC results |
| Reference manual: | EMCC.pdf |
| Package source: | EMCC_1.3.tar.gz |
| Windows binaries: | r-devel: EMCC_1.3.zip, r-release: EMCC_1.3.zip, r-oldrel: not available |
| OS X El Capitan binaries: | r-release: EMCC_1.3.tgz |
| OS X Mavericks binaries: | r-oldrel: not available |
| Old sources: | EMCC archive |
Please use the canonical form https://CRAN.R-project.org/package=EMCC to link to this page.