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Implementation of the bootstrapping approach for the estimation of clustering stability and its application in estimating the number of clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>. Implementation of the non-parametric bootstrap approach to assessing the stability of module detection in a graph, the extension for the selection of a parameter set that defines a graph from data in a way that optimizes stability and the corresponding visualization functions, as introduced by Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability estimation function and k-select Smin-based k-selection function as introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble clustering method based-on k-means clustering method, spectral clustering method and hierarchical clustering method.
Version: | 0.4.1 |
Depends: | R (≥ 3.5.1) |
Imports: | cluster, mclust, flexclust, fpc, plyr, dplyr, doParallel, foreach, igraph (≥ 1.2.0), compiler, stats, parallel, grid, ggplot2, gridExtra, intergraph, GGally, network, kernlab, sna |
Published: | 2024-11-12 |
DOI: | 10.32614/CRAN.package.bootcluster |
Author: | Han Yu [aut], Mingmei Tian [aut], Tianmou Liu [aut, cre] |
Maintainer: | Tianmou Liu <tianmouliu at outlook.com> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | bootcluster results |
Reference manual: | bootcluster.pdf |
Package source: | bootcluster_0.4.1.tar.gz |
Windows binaries: | r-devel: bootcluster_0.4.1.zip, r-release: bootcluster_0.4.1.zip, r-oldrel: bootcluster_0.4.1.zip |
macOS binaries: | r-release (arm64): bootcluster_0.4.1.tgz, r-oldrel (arm64): bootcluster_0.4.1.tgz, r-release (x86_64): bootcluster_0.4.1.tgz, r-oldrel (x86_64): bootcluster_0.4.1.tgz |
Old sources: | bootcluster archive |
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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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