bootcluster: Bootstrapping Estimates of Clustering Stability

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

Documentation:

Reference manual:

bootcluster.pdf

Downloads:

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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