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OptCirClust
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]
[Scholar Profile | Author Map]
All associated links for this package
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 11 Mar. 2026.
Previous versions and publish date:
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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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