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monoClust
View on CRAN: Click
here
Download and install monoClust package within the R console
Install from CRAN:
install.packages("monoClust")
Install from Github:
library("remotes")
install_github("cran/monoClust")
Install by package version:
library("remotes")
install_version("monoClust", "1.2.1")
Attach the package and use:
library("monoClust")
Maintained by
Tan Tran
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-06
Latest Update: 2021-02-15
Description:
Implementation of the Monothetic Clustering
algorithm (Chavent, 1998 ) on
continuous data sets. A lot of extensions are included in the package,
including applying Monothetic clustering on data sets with circular
variables, visualizations with the results, and permutation and
cross-validation based tests to support the decision on the number of
clusters.
How to cite:
Tan Tran (2020). monoClust: Perform Monothetic Clustering with Extensions to Circular Data. R package version 1.2.1, https://cran.r-project.org/web/packages/monoClust. Accessed 04 Jan. 2025.
Previous versions and publish date:
Other packages that cited monoClust R package
View monoClust citation profile
Other R packages that monoClust depends,
imports, suggests or enhances
Complete documentation for monoClust
Functions, R codes and Examples using
the monoClust R package
Some associated functions: MonoClust . MonoClustject . as_MonoClust . centroid . checkem . circ_arith . circ_dist . cluster_stats . create_labels . cv.test . error_bar . find_closest . find_split . ggcv . ggpcp . inertia_calc . is_MonoClust . make_jump_table . medoid . monoClust-package . new_node . perm.test . plot.MonoClust . plot.cv.MonoClust . plot_prep_branch . plot_prep_node . plot_tree . predict.MonoClust . print.MonoClust . print.cv.MonoClust . splitter . test_split . text_tree . to_deg_rad . tree_depth . tree_walk . wind_sensit_2007 . wind_sensit_2008 .
Some associated R codes: as_monoclust.R . circ_arith.R . circ_dist.R . cv.test.R . data.R . ggcv.R . ggpcp.R . inertia_calc.R . is_monoclust.R . medoid.R . monoClust-package.R . monoclust.R . monoclustject.R . perm.test.R . plot.cv.monoclust.R . plot.monoclust.R . predict.monoclust.R . print.cv.monoclust.R . print.monoclust.R . utils.R . zzz.R . Full monoClust package functions and examples
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