Cluster analysis via nonparametric density estimation is performed. Operationally, the kernel method is used throughout to estimate the density. Diagnostics methods for evaluating the quality of the clustering are available. The package includes also a routine to estimate the probability density function obtained by the kernel method, given a set of data with arbitrary dimensions.
Version: | 1.0-4 |
Imports: | geometry, methods |
Suggests: | cluster |
Published: | 2022-12-02 |
DOI: | 10.32614/CRAN.package.pdfCluster |
Author: | Menardi Giovanna [aut, cre], Azzalini Adelchi [aut], Rosolin Tiziana [ctb] (up to version 0.1-13) |
Maintainer: | Menardi Giovanna <menardi at stat.unipd.it> |
License: | GPL-2 |
NeedsCompilation: | yes |
Language: | en-US |
Citation: | pdfCluster citation info |
Materials: | NEWS ChangeLog |
In views: | Cluster |
CRAN checks: | pdfCluster results |
Reference manual: | pdfCluster.pdf |
Package source: | pdfCluster_1.0-4.tar.gz |
Windows binaries: | r-devel: pdfCluster_1.0-4.zip, r-release: pdfCluster_1.0-4.zip, r-oldrel: pdfCluster_1.0-4.zip |
macOS binaries: | r-release (arm64): pdfCluster_1.0-4.tgz, r-oldrel (arm64): pdfCluster_1.0-4.tgz, r-release (x86_64): pdfCluster_1.0-4.tgz, r-oldrel (x86_64): pdfCluster_1.0-4.tgz |
Old sources: | pdfCluster archive |
Reverse depends: | omada |
Reverse imports: | ftsa |
Reverse suggests: | FCPS, fpc |
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