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inaparc  

Initialization Algorithms for Partitioning Cluster Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("inaparc", "1.2.0")



Attach the package and use:
library("inaparc")
Maintained by
Zeynel Cebeci
[Scholar Profile | Author Map]
First Published: 2017-10-16
Latest Update: 2022-06-16
Description:
Partitioning clustering algorithms divide data sets into k subsets or partitions so-called clusters. They require some initialization procedures for starting the algorithms. Initialization of cluster prototypes is one of such kind of procedures for most of the partitioning algorithms. Cluster prototypes are the centers of clusters, i.e. centroids or medoids, representing the clusters in a data set. In order to initialize cluster prototypes, the package 'inaparc' contains a set of the functions that are the implementations of several linear time-complexity and loglinear time-complexity methods in addition to some novel techniques. Initialization of fuzzy membership degrees matrices is another important task for starting the probabilistic and possibilistic partitioning algorithms. In order to initialize membership degrees matrices required by these algorithms, a number of functions based on some traditional and novel initialization techniques are also available in the package 'inaparc'.
How to cite:
Zeynel Cebeci (2017). inaparc: Initialization Algorithms for Partitioning Cluster Analysis. R package version 1.2.0, https://cran.r-project.org/web/packages/inaparc. Accessed 09 May. 2025.
Previous versions and publish date:
0.1.0 (2017-10-16 19:33), 0.2.0 (2017-11-05 00:25), 1.1.0 (2020-02-08 21:10)
Other packages that cited inaparc R package
View inaparc citation profile
Other R packages that inaparc depends, imports, suggests or enhances
Complete documentation for inaparc
Functions, R codes and Examples using the inaparc R package
Some associated functions: aldaoud . ballhall . crsamp . figen . firstk . forgy . get.algorithms . hartiganwong . imembones . imembrand . inaparc-package . inofrep . inscsf . insdev . is.inaparc . kkz . kmpp . ksegments . ksteps . lastk . lhsmaximin . lhsrandom . maximin . mscseek . rsamp . rsegment . scseek . scseek2 . spaeth . ssamp . topbottom . uniquek . ursamp . 
Some associated R codes: inaparc.R .  Full inaparc package functions and examples
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