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odetector

Outlier Detection Using Cluster Analysis

https://github.com/zcebeci/odetector

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.3%) to scientific vocabulary

Keywords

anomaly-detection cluster-analysis clustering clustering-methods data datapreparation datapreprocessing exception-handling fcm fraud-detection fuzzy-clustering novelty-detection outlier-detection outlier-removal outliers partitioning pcm r surprise-exploration
Last synced: 6 months ago · JSON representation

Repository

Outlier Detection Using Cluster Analysis

Basic Info
  • Host: GitHub
  • Owner: zcebeci
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 558 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
anomaly-detection cluster-analysis clustering clustering-methods data datapreparation datapreprocessing exception-handling fcm fraud-detection fuzzy-clustering novelty-detection outlier-detection outlier-removal outliers partitioning pcm r surprise-exploration
Created about 4 years ago · Last pushed over 3 years ago
Metadata Files
Readme

README.md

odetector

Outlier Detection Using Partitioning Clustering Algorithms

Install the package 'odetector'

You can download a stable version of the package odetector from CRAN cloud as follows: {r} install.package("odetector", repos="https://cloud.r-project.org")

In order to install the most recent version of the package odetector from the GitHub repository you should first install the devtools package from CRAN into your local system. Then you can install the package odetector using install_github of devtools package as shown with the R code chunks below:

{r} if(!require(devtools)) {install.packages('devtools'); require(devtools)} devtools::install_github("zcebeci/odetector") If you would like to have a compiled version of the vignettes of the package try to install the package odetector using install_github with build_vignettes argument set to TRUE as shown below:

{r} if(!require(devtools)) {install.packages('devtools'); require(devtools)} devtools::install_github("zcebeci/odetector", build_vignettes=TRUE) If you have not already installed rmarkdown and prettydoc in your local system, before running the above install commands firstly install these packages as following:

{r} install.packages('prettydoc')

Load the package into R working space

After you installed the package odetector, run the following command in order to load it to R working space.

{r} library(odetector)

Help for the package

To get help about the use of functions included in the package odetector, run help in R as seen in the following code chunk.

{r} help(package="odetector") For reaching the detailed vignette about the usage of package with examples, run the following command and then click HTML link on the accessed page in your web browser. Read the vignette and apply the examples.

{r} browseVignettes("odetector")

Cite the package

To cite the package please use one of the following items fits to your references list:

Cebeci Z, Cebeci C, Tahtali Y, Bayyurt L. 2022. Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering. PeerJ Computer Science 8:e1060 https://doi.org/10.7717/peerj-cs.1060

or in BibTeX format as follows: @misc{zcebeciodetector, author = {Cebeci, Z. and Cebeci, C. and Tahtali, Y. and Bayyurt, L.}, title = {Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering}, year = {2022}, journal = {PeerJ Computer Science}, volume={8:e1060}, howpublished = {\url{https://doi.org/10.7717/peerj-cs.1060}}, }

Owner

  • Name: Zeynel Cebeci
  • Login: zcebeci
  • Kind: user
  • Location: Adana, Turkey
  • Company: University of Çukurova

Faculty member in Div. of Biometry & Genetics in Faculty of Agriculture at Çukurova University.

GitHub Events

Total
Last Year

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 24
  • Total Committers: 1
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Zeynel Cebeci c****z@g****m 24

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
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Top Labels
Issue Labels
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 216 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: odetector

Outlier Detection Using Partitioning Clustering Algorithms

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 216 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 35.2%
Dependent repos count: 35.5%
Average: 41.1%
Downloads: 76.3%
Maintainers (1)
zcebeci@cukurova.edu.tr
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.0 depends
  • grDevices * imports
  • graphics * imports
  • ppclust * imports
  • utils * imports
  • knitr * suggests
  • rmarkdown * suggests