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clustrd
View on CRAN: Click
here
Download and install clustrd package within the R console
Install from CRAN:
install.packages("clustrd")
Install from Github:
library("remotes")
install_github("cran/clustrd")
Install by package version:
library("remotes")
install_version("clustrd", "1.4.0")
Attach the package and use:
library("clustrd")
Maintained by
Angelos Markos
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-23
Latest Update: 2022-07-16
Description:
A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data (Markos, Iodice D'Enza and van de Velden 2019; ). For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; ) and reduced K-means (De Soete and Carroll 1994; ); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; ), i-FCB (Iodice D'Enza and Palumbo 2013, ) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; ), which combine multiple correspondence analysis with K-means. For mixed-type data, it provides mixed Reduced K-means and mixed Factorial K-means (van de Velden, Iodice D'Enza and Markos 2019; ), which combine PCA for mixed-type data with K-means.
How to cite:
Angelos Markos (2013). clustrd: Methods for Joint Dimension Reduction and Clustering. R package version 1.4.0, https://cran.r-project.org/web/packages/clustrd
Previous versions and publish date:
0.1.1 (2013-10-23 07:57), 0.1.2 (2013-12-27 16:04), 0.1 (2013-09-17 18:02), 1.0.2 (2016-11-01 18:06), 1.0.9 (2016-11-10 13:43), 1.1.0 (2016-12-06 18:27), 1.1.9 (2017-04-24 23:38), 1.2.0 (2017-05-29 23:26), 1.2.1 (2018-04-16 18:50), 1.2.2 (2018-05-03 19:45), 1.3.1 (2019-05-08 12:10), 1.3.2 (2019-07-11 23:59), 1.3.4 (2019-08-21 00:30), 1.3.5 (2019-09-07 13:40), 1.3.6-2 (2019-10-28 17:30), 1.3.6 (2019-10-07 14:30), 1.3.7-2 (2020-02-29 06:20), 1.3.7 (2020-02-09 13:30), 1.3.8 (2021-11-18 18:10), 1.3.9 (2021-11-26 14:50), 1.3 (2019-04-23 09:50)
Other packages that cited clustrd R package
View clustrd citation profile
Other R packages that clustrd depends,
imports, suggests or enhances
Functions, R codes and Examples using
the clustrd R package
Some associated functions: bribery . clusmca . cluspca . cluspcamix . clustrd . cmc . diamond . global_bootclus . hsq . local_bootclus . macro . mybond . plot.clusmca . plot.cluspca . plot.cluspcamix . tuneclus .
Some associated R codes: boot_clusmca.R . boot_cluspca.R . boot_cluspcamix.R . clu_means.R . clusCA.R . clusmca.R . cluspca.R . cluspcamix.R . clusval.R . distEuclidean.R . fitted.clusmca.R . fitted.cluspca.R . fitted.cluspcamix.R . fitted.tuneclus.R . global_bootclus.R . local_bootclus.R . plot.clusmca.R . plot.cluspca.R . plot.cluspcamix.R . plot.tuneclus.R . print.clusmca.R . print.cluspca.R . print.cluspcamix.R . print.tuneclus.R . summary.clusmca.R . summary.cluspca.R . summary.cluspcamix.R . summary.tuneclus.R . tab.disjonctif.R . tune_clusmca.R . tune_cluspca.R . tune_cluspcamix.R . tuneclus.R . Full clustrd package functions and examples
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