The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Probabilistic distance clustering (PD-clustering) is an iterative, distribution free, probabilistic clustering method. PD-clustering assigns units to a cluster according to their probability of membership, under the constraint that the product of the probability and the distance of each point to any cluster centre is a constant. PD-clustering is a flexible method that can be used with non-spherical clusters, outliers, or noisy data. PDQ is an extension of the algorithm for clusters of different size. GPDC and TPDC uses a dissimilarity measure based on densities. Factor PD-clustering (FPDC) is a factor clustering method that involves a linear transformation of variables and a cluster optimizing the PD-clustering criterion. It works on high dimensional data sets.
| Version: | 2.3.1 |
| Depends: | ThreeWay , mvtnorm, R (≥ 3.5) |
| Imports: | ExPosition, cluster, rootSolve, MASS, klaR, GGally, ggplot2, ggeasy |
| Published: | 2024-01-30 |
| Author: | Cristina Tortora [aut, cre, cph], Noe Vidales [aut], Francesco Palumbo [aut], Tina Kalra [aut], and Paul D. McNicholas [fnd] |
| Maintainer: | Cristina Tortora <grikris1 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | FPDclustering results |
| Reference manual: | FPDclustering.pdf |
| Package source: | FPDclustering_2.3.1.tar.gz |
| Windows binaries: | r-devel: FPDclustering_2.3.1.zip, r-release: FPDclustering_2.3.1.zip, r-oldrel: FPDclustering_2.3.1.zip |
| macOS binaries: | r-release (arm64): FPDclustering_2.3.1.tgz, r-oldrel (arm64): FPDclustering_2.3.1.tgz, r-release (x86_64): FPDclustering_2.3.1.tgz, r-oldrel (x86_64): FPDclustering_2.3.1.tgz |
| Old sources: | FPDclustering archive |
Please use the canonical form https://CRAN.R-project.org/package=FPDclustering to link to this page.
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.
Health stats visible at Monitor.