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Evacluster: Evaluation Clustering Methods for Disease Subtypes Diagnosis

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)<doi:10.1016/j.compbiomed.2021.104753>, and Fahimeh Nezhadmoghadam, et al.(2021)<doi:10.2174/1567205018666210831145825>.

Version: 0.1.0
Suggests: mlbench, EMCluster, inaparc, ppclust, FRESA.CAD, MASS, stats, class, NMF, cluster, Rtsne, proxy, uwot, mclust, graphics
Published: 2022-04-01
DOI: 10.32614/CRAN.package.Evacluster
Author: Fahimeh Nezhadmoghadam,Jose Gerardo Tamez-Pena
Maintainer: Fahimeh Nezhadmoghadam <f.nejad.moghadam at gmail.com>
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Evacluster results

Documentation:

Reference manual: Evacluster.pdf

Downloads:

Package source: Evacluster_0.1.0.tar.gz
Windows binaries: r-devel: Evacluster_0.1.0.zip, r-release: Evacluster_0.1.0.zip, r-oldrel: Evacluster_0.1.0.zip
macOS binaries: r-release (arm64): Evacluster_0.1.0.tgz, r-oldrel (arm64): Evacluster_0.1.0.tgz, r-release (x86_64): Evacluster_0.1.0.tgz, r-oldrel (x86_64): Evacluster_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Evacluster to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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