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clusterability  

Performs Tests for Cluster Tendency of a Data Set
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clusterability", "0.1.1.0")



Attach the package and use:
library("clusterability")
Maintained by
Zachariah Neville
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-15
Latest Update: 2020-03-04
Description:
Test for cluster tendency (clusterability) of a data set. The methods implemented - reducing the data set to a single dimension using principal component analysis or computing pairwise distances, and performing a multimodality test like the Dip Test or Silverman's Critical Bandwidth Test - are described in Adolfsson, Ackerman, and Brownstein (2019) . Such methods can inform whether clustering algorithms are appropriate for a data set.
How to cite:
Zachariah Neville (2019). clusterability: Performs Tests for Cluster Tendency of a Data Set. R package version 0.1.1.0, https://cran.r-project.org/web/packages/clusterability. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0.0 (2019-12-15 15:40)
Other packages that cited clusterability R package
View clusterability citation profile
Other R packages that clusterability depends, imports, suggests or enhances
Complete documentation for clusterability
Functions, R codes and Examples using the clusterability R package
Some associated functions: clusterability . clusterabilitytest . normals1 . normals2 . normals3 . normals4 . normals5 . print.clusterability . 
Some associated R codes: clusterability.R . clusterabilitytest.R . dipsilverman.R . normals1.R . normals2.R . normals3.R . normals4.R . normals5.R . paramchecks.R . reducestandardize.R .  Full clusterability package functions and examples
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