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: 0.4.2 Depends: R (≥ 3.5.1) Imports: cluster, mclust (≥ 5.0.0), flexclust, fpc, plyr, dplyr, doParallel, foreach, igraph (≥ 1.2.0), compiler, stats, parallel, grid, grDevices, ggplot2, gridExtra, intergraph, GGally, network, kernlab, sna, progress Published: 2025-06-17 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 NEWS CRAN checks: bootcluster results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bootcluster to link to this page.
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