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OptCirClust  

Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OptCirClust", "0.0.4")



Attach the package and use:
library("OptCirClust")
Maintained by
Joe Song
[Scholar Profile | Author Map]
First Published: 2020-12-09
Latest Update: 2021-07-28
Description:
Fast, optimal, and reproducible clustering algorithms for circular, periodic, or framed data. The algorithms introduced here are based on a core algorithm for optimal framed clustering the authors have developed (Debnath & Song 2021) . The runtime of these algorithms is O(K N log^2 N), where K is the number of clusters and N is the number of circular data points. On a desktop computer using a single processor core, millions of data points can be grouped into a few clusters within seconds. One can apply the algorithms to characterize events along circular DNA molecules, circular RNA molecules, and circular genomes of bacteria, chloroplast, and mitochondria. One can also cluster climate data along any given longitude or latitude. Periodic data clustering can be formulated as circular clustering. The algorithms offer a general high-performance solution to circular, periodic, or framed data clustering.
How to cite:
Joe Song (2020). OptCirClust: Circular, Periodic, or Framed Data Clustering: Fast, Optimal, and Reproducible. R package version 0.0.4, https://cran.r-project.org/web/packages/OptCirClust. Accessed 13 Apr. 2025.
Previous versions and publish date:
0.0.1 (2020-12-09 11:30), 0.0.2 (2020-12-15 23:30), 0.0.3 (2020-12-18 17:10)
Other packages that cited OptCirClust R package
View OptCirClust citation profile
Other R packages that OptCirClust depends, imports, suggests or enhances
Complete documentation for OptCirClust
Functions, R codes and Examples using the OptCirClust R package
Some associated functions: CirClust . FramedClust . plot.CirClust . plot.FramedClust . 
Some associated R codes: CirClust.R . FramedClust.R . RcppExports.R . kmeans-framed-clust.R . plot-CirClust.R . plot-FramedClust.R . quad-framed-clust.R .  Full OptCirClust package functions and examples
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