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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 |
| Reference manual: | Evacluster.pdf |
| 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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These binaries (installable software) and packages are in development.
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