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hclusteasy: Determining Hierarchical Clustering Easily

Facilitates hierarchical clustering analysis with functions to read data in 'txt', 'xlsx', and 'xls' formats, apply normalization techniques to the dataset, perform hierarchical clustering and construct scatter plot from principal component analysis to evaluate the groups obtained.

Version: 0.1.0
Depends: R (≥ 3.6)
Imports: clusterSim, factoextra, readxl, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2024-06-21
DOI: 10.32614/CRAN.package.hclusteasy
Author: André Nogueira [aut], Henrique Andrade [aut, cre]
Maintainer: Henrique Andrade <henrique.4ndrade at outlook.com>
BugReports: https://github.com/tsukubai/hclusteasy/issues
License: GPL-2
URL: https://github.com/tsukubai/hclusteasy
NeedsCompilation: no
Materials: README NEWS
CRAN checks: hclusteasy results

Documentation:

Reference manual: hclusteasy.pdf

Downloads:

Package source: hclusteasy_0.1.0.tar.gz
Windows binaries: r-devel: hclusteasy_0.1.0.zip, r-release: hclusteasy_0.1.0.zip, r-oldrel: hclusteasy_0.1.0.zip
macOS binaries: r-release (arm64): hclusteasy_0.1.0.tgz, r-oldrel (arm64): hclusteasy_0.1.0.tgz, r-release (x86_64): hclusteasy_0.1.0.tgz, r-oldrel (x86_64): hclusteasy_0.1.0.tgz

Linking:

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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.