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DCEM
View on CRAN: Click
here
Download and install DCEM package within the R console
Install from CRAN:
install.packages("DCEM")
Install from Github:
library("remotes")
install_github("cran/DCEM")
Install by package version:
library("remotes")
install_version("DCEM", "2.0.5")
Attach the package and use:
library("DCEM")
Maintained by
Sharma Parichit
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.DCEM . https://github.com/parichit/DCEM/issues . https://github.com/parichit/DCEM . DCEM citation info . DCEM results . DCEM.pdf . DCEM . DCEM_2.0.5.tar.gz . DCEM_2.0.5.zip . DCEM_2.0.5.zip . DCEM_2.0.5.zip . DCEM_2.0.5.tgz . DCEM_2.0.5.tgz . DCEM_2.0.5.tgz . DCEM_2.0.5.tgz . DCEM_2.0.5.tgz . DCEM_2.0.5.tgz . DCEM archive . https://CRAN.R-project.org/package=DCEM .
First Published: 2018-09-30
Latest Update: 2022-01-16
Description:
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) . Hasan Kurban,
Mark Jenne, Mehmet Dalkilic (2016) .
How to cite:
Sharma Parichit (2018). DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm. R package version 2.0.5, https://cran.r-project.org/web/packages/DCEM. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited DCEM R package
View DCEM citation profile
Other R packages that DCEM depends,
imports, suggests or enhances
Complete documentation for DCEM
Functions, R codes and Examples using
the DCEM R package
Some associated functions: DCEM . build_heap . dcem_cluster_mv . dcem_cluster_uv . dcem_predict . dcem_star_cluster_mv . dcem_star_cluster_uv . dcem_star_train . dcem_test . dcem_train . expectation_mv . expectation_uv . get_priors . insert_nodes . ionosphere_data . max_heapify . maximisation_mv . maximisation_uv . meu_mv . meu_mv_impr . meu_uv . meu_uv_impr . separate_data . sigma_mv . sigma_uv . trim_data . update_weights . validate_data .
Some associated R codes: RcppExports.R . dcem.R . dcem_cluster_mv.R . dcem_cluster_uv.R . dcem_em_utils.R . dcem_heap_util.R . dcem_init_mv.R . dcem_init_uv.R . dcem_predict.R . dcem_star_cluster_mv.R . dcem_star_cluster_uv.R . dcem_star_train.R . dcem_test.R . dcem_train.R . ionosphere_data.R . sanitycheck.R . zzz.R . Full DCEM package functions and examples
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