Package: DCEM 2.0.6

Sharma Parichit
DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm
Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering big data (gaussian mixture models for both multivariate and univariate datasets). This version implements the faster alternative-EM* that expedites convergence via structure based data segregation. The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma, Hasan Kurban, Mehmet Dalkilic (2022) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban, Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.
Authors:
DCEM_2.0.6.tar.gz
DCEM_2.0.6.zip(r-4.7)DCEM_2.0.6.zip(r-4.6)DCEM_2.0.6.zip(r-4.5)
DCEM_2.0.6.tgz(r-4.6-x86_64)DCEM_2.0.6.tgz(r-4.6-arm64)DCEM_2.0.6.tgz(r-4.5-x86_64)DCEM_2.0.6.tgz(r-4.5-arm64)
DCEM_2.0.6.tar.gz(r-4.7-arm64)DCEM_2.0.6.tar.gz(r-4.7-x86_64)DCEM_2.0.6.tar.gz(r-4.6-arm64)DCEM_2.0.6.tar.gz(r-4.6-x86_64)
DCEM_2.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DCEM/json (API)
NEWS
| # Install 'DCEM' in R: |
| install.packages('DCEM', repos = c('https://parichit.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/parichit/dcem/issues
- ionosphere_data - Ionosphere data: A dataset of 351 radar readings
Last updated from:d8350ed556. Checks:11 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 126 | ||
| linux-devel-x86_64 | NOTE | 103 | ||
| source / vignettes | OK | 178 | ||
| linux-release-arm64 | NOTE | 107 | ||
| linux-release-x86_64 | NOTE | 114 | ||
| macos-release-arm64 | NOTE | 221 | ||
| macos-release-x86_64 | NOTE | 219 | ||
| macos-oldrel-arm64 | NOTE | 164 | ||
| macos-oldrel-x86_64 | NOTE | 290 | ||
| windows-devel | NOTE | 123 | ||
| windows-release | NOTE | 218 | ||
| windows-oldrel | NOTE | 140 | ||
| wasm-release | OK | 105 |
Exports:dcem_predictdcem_star_traindcem_testdcem_trainmeu_mvmeu_uv
Dependencies:MASSmatrixcalcmvtnormRcpp