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densityClust  

Clustering by Fast Search and Find of Density Peaks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("densityClust", "0.3.3")



Attach the package and use:
library("densityClust")
Maintained by
Thomas Lin Pedersen
[Scholar Profile | Author Map]
First Published: 2014-07-21
Latest Update: 2024-01-29
Description:
An improved implementation (based on k-nearest neighbors) of the density peak clustering algorithm, originally described by Alex Rodriguez and Alessandro Laio (Science, 2014 vol. 344). It can handle large datasets (> 100,000 samples) very efficiently. It was initially implemented by Thomas Lin Pedersen, with inputs from Sean Hughes and later improved by Xiaojie Qiu to handle large datasets with kNNs.
How to cite:
Thomas Lin Pedersen (2014). densityClust: Clustering by Fast Search and Find of Density Peaks. R package version 0.3.3, https://cran.r-project.org/web/packages/densityClust. Accessed 07 May. 2025.
Previous versions and publish date:
0.1-1 (2014-07-21 13:29), 0.2.1 (2016-02-06 13:47), 0.3.1 (2022-02-21 08:50), 0.3.2 (2022-03-06 20:10), 0.3 (2017-10-24 14:52)
Other packages that cited densityClust R package
View densityClust citation profile
Other R packages that densityClust depends, imports, suggests or enhances
Complete documentation for densityClust
Functions, R codes and Examples using the densityClust R package
Some associated functions: clustered . clusters . densityClust-package . densityClust . estimateDc . findClusters . plotDensityClust . plotMDS . plotTSNE . 
Some associated R codes: cpp11.R . densityClust-package.R . densityClust.R . plotDensityClust.R .  Full densityClust package functions and examples
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