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
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

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