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cclust  

Convex Clustering Methods and Clustering Indexes
View on CRAN: Click here


Download and install cclust package within the R console
Install from CRAN:
install.packages("cclust")

Install from Github:
library("remotes")
install_github("cran/cclust")

Install by package version:
library("remotes")
install_version("cclust", "0.6-26")



Attach the package and use:
library("cclust")
Maintained by
Kurt Hornik
[Scholar Profile | Author Map]
All associated links for this package
First Published: 1999-04-26
Latest Update: 2023-05-02
Description:
Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
How to cite:
Kurt Hornik (1999). cclust: Convex Clustering Methods and Clustering Indexes. R package version 0.6-26, https://cran.r-project.org/web/packages/cclust. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 0.6-3 (1999-04-26 18:17), 0.6-4 (2000-05-04 12:47), 0.6-5 (2000-05-09 11:40), 0.6-6 (2001-01-08 17:16), 0.6-7 (2001-05-16 11:20), 0.6-8 (2001-05-22 13:32), 0.6-9 (2001-12-11 12:54), 0.6-10 (2003-04-17 18:08), 0.6-11 (2004-06-30 10:55), 0.6-12 (2005-04-06 17:42), 0.6-13 (2006-10-04 12:17), 0.6-14 (2007-05-07 17:06), 0.6-15 (2009-01-06 20:06), 0.6-16 (2012-10-29 08:58), 0.6-17 (2012-12-22 14:23), 0.6-18 (2014-01-26 13:52), 0.6-19 (2014-10-08 13:48), 0.6-20 (2015-06-24 17:41), 0.6-21 (2017-01-17 12:33), 0.6-22 (2020-12-03 19:59), 0.6-23 (2021-11-16 08:51), 0.6-24 (2022-05-30 12:25), 0.6-25 (2022-10-10 11:27), 0.6-26 (2023-05-02 13:43)
Other packages that cited cclust R package
View cclust citation profile
Other R packages that cclust depends, imports, suggests or enhances
Complete documentation for cclust
Functions, R codes and Examples using the cclust R package
Some associated functions: Rindexes . cclust . predict.cclust . 
Some associated R codes: Rindexes.R . cclust.R .  Full cclust package functions and examples
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