Package: pdfCluster 1.0-4
Menardi Giovanna
pdfCluster: Cluster Analysis via Nonparametric Density Estimation
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.
Authors:
pdfCluster_1.0-4.tar.gz
pdfCluster_1.0-4.zip(r-4.7-x86_64)pdfCluster_1.0-4.zip(r-4.7-arm64)pdfCluster_1.0-4.zip(r-4.6-x86_64)pdfCluster_1.0-4.zip(r-4.6-arm64)
pdfCluster_1.0-4.tar.gz(r-4.7-arm64)pdfCluster_1.0-4.tar.gz(r-4.7-x86_64)pdfCluster_1.0-4.tar.gz(r-4.6-arm64)pdfCluster_1.0-4.tar.gz(r-4.6-x86_64)
pdfCluster_1.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
pdfCluster/json (API)
| # Install 'pdfCluster' in R: |
| install.packages('pdfCluster', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:84703331f9. Checks:10 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 108 | ||
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 171 | ||
| linux-release-arm64 | OK | 115 | ||
| linux-release-x86_64 | OK | 129 | ||
| windows-devel-arm64 | OK | 246 | ||
| windows-devel-x86_64 | OK | 118 | ||
| windows-release-arm64 | OK | 230 | ||
| windows-release-x86_64 | OK | 81 | ||
| wasm-release | OK | 101 |
Exports:adj.rand.indexdbsgroupsh.normhprop2fkepdfpdfClassificationpdfClusterplotplot.dbsplot.kepdfplot.pdfClustershowsummarysummary.dbssummary.kepdfsummary.pdfCluster
Dependencies:abindgeometrylinproglpSolvemagicRcppRcppProgress
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The pdfCluster package: summary information | pdfCluster-package |
| Adjusted Rand index | adj.rand.index |
| Density-based silhouette information methods | dbs dbs,matrix,numeric-method dbs,matrix-method dbs,pdfCluster,missing-method dbs,pdfCluster-method dbs-methods |
| Class "dbs" | dbs-class show,dbs-method summary.dbs |
| Extracts groups | groups |
| Normal optimal choice of smoothing parameter in density estimation | h.norm |
| Sample smoothing parameters in adaptive density estimation | hprop2f |
| Kernel estimate of a probability density function. | kepdf |
| Class "kepdf" | kepdf-class show,kepdf-method summary.kepdf |
| Olive oil data | oliveoil |
| Classification of low density data | pdfClassification |
| Clustering via nonparametric density estimation | pdfCluster pdfCluster,data.frame-method pdfCluster,matrix-method pdfCluster,numeric-method pdfCluster,pdfCluster-method pdfCluster-methods |
| Class "pdfCluster" | pdfCluster-class show,pdfCluster-method summary.pdfCluster |
| Methods for function plot | plot-methods |
| Plot objects of class dbs | plot,dbs,missing-method plot,dbs-method plot.dbs |
| Plot objects of class kepdf | plot,kepdf,missing-method plot,kepdf-method plot.kepdf |
| Plot objects of class pdfCluster | plot,pdfCluster,missing-method plot,pdfCluster-method plot.pdfCluster |
| Methods for Function show | show-methods |
| Methods for Function summary | summary,dbs-method summary,kepdf-method summary,pdfCluster-method summary-methods |
| Wine data | wine |