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ClustBlock  

Clustering of Datasets
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ClustBlock", "4.0.0")



Attach the package and use:
library("ClustBlock")
Maintained by
Fabien Llobell
[Scholar Profile | Author Map]
First Published: 2019-03-06
Latest Update: 2023-08-30
Description:
Hierarchical and partitioning algorithms of blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) , Llobell, Vigneau & Qannari (2019) ) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) , Llobell, Giacalone, Labenne & Qannari (2019) ) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data. Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RATA, Free Sorting and JAR experiments are available.
How to cite:
Fabien Llobell (2019). ClustBlock: Clustering of Datasets. R package version 4.0.0, https://cran.r-project.org/web/packages/ClustBlock. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.0.0 (2019-03-06 14:10), 2.0.0 (2019-07-08 15:40), 2.1.0 (2019-11-07 01:10), 2.1.1 (2019-11-29 18:30), 2.2.0 (2020-04-23 15:40), 2.2.1 (2020-10-02 16:22), 2.3.0 (2020-11-16 11:00), 2.3.1 (2020-11-21 15:20), 2.4.0 (2021-06-22 11:30), 2.4.1 (2022-03-31 11:20), 3.0.0 (2022-09-08 00:23), 3.1.0 (2023-03-05 07:40), 3.1.1 (2023-06-29 20:00), 3.2.0 (2023-08-30 17:40)
Other packages that cited ClustBlock R package
View ClustBlock citation profile
Other R packages that ClustBlock depends, imports, suggests or enhances
Complete documentation for ClustBlock
Functions, R codes and Examples using the ClustBlock R package
Some associated functions: ClustBlock-package . PB_tuna . catatis . catatis_jar . change_cata_format . change_cata_format2 . cheese . choc . cluscata . cluscata_jar . cluscata_kmeans . cluscata_kmeans_jar . clustatis . clustatis_FreeSort . clustatis_FreeSort_kmeans . clustatis_kmeans . consistency_cata . consistency_cata_panel . plot.catatis . plot.cluscata . plot.clustatis . plot.statis . preprocess_FreeSort . preprocess_JAR . print.catatis . print.cluscata . print.clustatis . print.statis . simil_groups_cata . smoo . statis . statis_FreeSort . straw . summary.catatis . summary.cluscata . summary.clustatis . summary.statis . 
Some associated R codes: PB_tuna.R . catatis.R . catatis_jar.R . change_cata_format.R . change_cata_format2.R . cheese.R . choc.R . cluscata.R . cluscata_jar.R . cluscata_kmeans.R . cluscata_kmeans_jar.R . clustatis.R . clustatis_FreeSort.R . clustatis_FreeSort_kmeans.R . clustatis_kmeans.R . consistency_cata.R . consistency_cata_panel.R . crit_cataXj.R . crit_cataXj_fast.R . crit_statisWj.R . crit_statisWj_fast.R . first_step.R . one_cluster_or_more.R . one_cluster_or_more_cata.R . order_var.R . plot.catatis.R . plot.cluscata.R . plot.clustatis.R . plot.statis.R . preprocess_FreeSort.R . preprocess_JAR.R . print.catatis.R . print.cluscata.R . print.clustatis.R . print.statis.R . s_between_comp.R . second_step.R . simil_groups_cata.R . smoo.R . statis.R . statis_FreeSort.R . straw.R . summary.catatis.R . summary.cluscata.R . summary.clustatis.R . summary.statis.R . vp_rv_Wi.R . vp_s.R .  Full ClustBlock package functions and examples
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