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adproclus
View on CRAN: Click
here
Download and install adproclus package within the R console
Install from CRAN:
install.packages("adproclus")
Install from Github:
library("remotes")
install_github("cran/adproclus") Install by package version:
library("remotes")
install_version("adproclus", "2.0.1") Attach the package and use:
library("adproclus")
Maintained by
Henry Heppe
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-07
Latest Update: 2024-08-17
Description:
Obtain overlapping clustering models for object-by-variable data
matrices using the Additive Profile Clustering (ADPROCLUS) method.
Also contains the low dimensional ADPROCLUS method
for simultaneous dimension reduction and overlapping clustering.
For reference see Depril, Van Mechelen, Mirkin (2008)
and Depril, Van Mechelen, Wilderjans
(2012) .
How to cite:
Henry Heppe (2023). adproclus: Additive Profile Clustering Algorithms. R package version 2.0.1, https://cran.r-project.org/web/packages/adproclus. Accessed 04 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for adproclus
Functions, R codes and Examples using
the adproclus R package
Some associated functions: CGdata . adpc . adproclus-package . adproclus . adproclus_low_dim . get_random . get_rational . get_semirandom . plot.adpc . plot_cluster_network . plot_profiles . plot_vars_by_comp . print.adpc . print.summary.adpc . summary.adpc .
Some associated R codes: adproclus-package.R . adproclus_classes.R . clustering.R . data.R . get_starts.R . utils.R . visualize.R . Full adproclus package functions and examples
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