ClusBoot: Bootstrap Clustering

Clustering algorithms are designed to cluster objects into a number of clusters. Any clustering algorithm provides the 'best' grouping of objects according to some criterion. This does not guarantee a 'good' clustering solution in the sense that some allocations were not simply the result of chance. This package allows the user to apply any clustering algorithm to a data set. The cluster allocations are subjected to a bootstrap analysis to determine the extent to which the clustering structure is stable and fundamental to the data set. For more information see <https://slubbe.wixsite.com/academic-cv/conference-presentations>.

Version: 1.0
Depends: R (≥ 3.5.0)
Published: 2019-12-13
Author: Sugnet Lubbe
Maintainer: Sugnet Lubbe <slubbe at sun.ac.za>
License: AGPL-3
NeedsCompilation: no
CRAN checks: ClusBoot results

Downloads:

Reference manual: ClusBoot.pdf
Package source: ClusBoot_1.0.tar.gz
Windows binaries: r-devel: ClusBoot_1.0.zip, r-devel-gcc8: ClusBoot_1.0.zip, r-release: ClusBoot_1.0.zip, r-oldrel: ClusBoot_1.0.zip
OS X binaries: r-release: ClusBoot_1.0.tgz, r-oldrel: ClusBoot_1.0.tgz

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