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Evacluster
View on CRAN: Click
here
Download and install Evacluster package within the R console
Install from CRAN:
install.packages("Evacluster")
Install from Github:
library("remotes")
install_github("cran/Evacluster")
Install by package version:
library("remotes")
install_version("Evacluster", "0.1.0")
Attach the package and use:
library("Evacluster")
Maintained by
Fahimeh Nezhadmoghadam
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.Evacluster . Evacluster results . Evacluster.pdf . Evacluster_0.1.0.tar.gz . Evacluster_0.1.0.zip . Evacluster_0.1.0.zip . Evacluster_0.1.0.zip . Evacluster_0.1.0.tgz . Evacluster_0.1.0.tgz . Evacluster_0.1.0.tgz . Evacluster_0.1.0.tgz . https://CRAN.R-project.org/package=Evacluster .
First Published: 2022-04-01
Latest Update: 2022-04-01
Description:
Contains a set of clustering methods and evaluation metrics to select the best number of the clusters based on clustering stability. Two references describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena (2021), and Fahimeh Nezhadmoghadam, et al.(2021).
How to cite:
Fahimeh Nezhadmoghadam (2022). Evacluster: Evaluation Clustering Methods for Disease Subtypes Diagnosis. R package version 0.1.0, https://cran.r-project.org/web/packages/Evacluster. Accessed 10 Jan. 2025.
Previous versions and publish date:
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Other R packages that Evacluster depends,
imports, suggests or enhances
Complete documentation for Evacluster
Functions, R codes and Examples using
the Evacluster R package
Some associated functions: EMCluster . Evacluster-package . FuzzyCluster . clusterStability . getConsensusCluster . hierarchicalCluster . kmeansCluster . nmfCluster . pamCluster . predict.EMCluster . predict.FuzzyCluster . predict.hierarchicalCluster . predict.kmeansCluster . predict.nmfCluster . predict.pamCluster . predict.tsneReductor . tsneReductor .
Some associated R codes: EMWrapper.R . FuzzyWrapper.R . getConsensusCluster.R . hierarchicalWrapper.R . kmeanWrapper.R . nmfWrapper.R . pamWrapper.R . tSNEwrapper.R . Full Evacluster package functions and examples
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