Other packages > Find by keyword >

kpeaks  

Determination of K Using Peak Counts of Features for Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kpeaks", "1.1.0")



Attach the package and use:
library("kpeaks")
Maintained by
Zeynel Cebeci
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-19
Latest Update: 2020-02-08
Description:
The number of clusters (k) is needed to start all the partitioning clustering algorithms. An optimal value of this input argument is widely determined by using some internal validity indices. Since most of the existing internal indices suggest a k value which is computed from the clustering results after several runs of a clustering algorithm they are computationally expensive. On the contrary, the package 'kpeaks' enables to estimate k before running any clustering algorithm. It is based on a simple novel technique using the descriptive statistics of peak counts of the features in a data set.
How to cite:
Zeynel Cebeci (2017). kpeaks: Determination of K Using Peak Counts of Features for Clustering. R package version 1.1.0, https://cran.r-project.org/web/packages/kpeaks. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2017-09-19 11:37)
Other packages that cited kpeaks R package
View kpeaks citation profile
Other R packages that kpeaks depends, imports, suggests or enhances
Complete documentation for kpeaks
Functions, R codes and Examples using the kpeaks R package
Some associated functions: findk . findpolypeaks . genpolygon . kpeaks-package . plotpolygon . rmshoulders . x5p4c . 
Some associated R codes: kpeaks.R .  Full kpeaks package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA