Other packages > Find by keyword >

odetector  

Outlier Detection Using Partitioning Clustering Algorithms
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("odetector", "1.0.1")



Attach the package and use:
library("odetector")
Maintained by
Zeynel Cebeci
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-04
Latest Update: 2022-11-08
Description:
An object is called "outlier" if it remarkably deviates from the other objects in a data set. Outlier detection is the process to find outliers by using the methods that are based on distance measures, clustering and spatial methods (Ben-Gal, 2005 ). It is one of the intensively studied research topics for identification of novelties, frauds, anomalies, deviations or exceptions in addition to its use for outlier removing in data processing. This package provides the implementations of some novel approaches to detect the outliers based on typicality degrees that are obtained with the soft partitioning clustering algorithms such as Fuzzy C-means and its variants.
How to cite:
Zeynel Cebeci (2022). odetector: Outlier Detection Using Partitioning Clustering Algorithms. R package version 1.0.1, https://cran.r-project.org/web/packages/odetector. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:36), 1.0.0 (2022-10-04 09:50)
Other packages that cited odetector R package
View odetector citation profile
Other R packages that odetector depends, imports, suggests or enhances
Complete documentation for odetector
Functions, R codes and Examples using the odetector R package
Some associated functions: detect.outliers . odetector-package . pairs.outliers . plot.outliers . print.outliers . remove.outliers . summary.outliers . x3p4c . 
Some associated R codes: detect.outliers.R . pairs.outliers.R . plot.outliers.R . print.outliers.R . remove.outliers.R . summary.outliers.R .  Full odetector package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
tarchetypes  
Archetypes for Targets
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency  
bbdetection  
Identification of Bull and Bear States of the Market
Implements two algorithms of detecting Bull and Bear markets in stock prices: the algorithm of Pagan ...
Download / Learn more Package Citations See dependency  
Rnmr1D  
Perform the Complete Processing of a Set of Proton Nuclear Magnetic Resonance Spectra
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency  
schoolmath  
Functions and Datasets for Math Used in School
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency  
stevedata  
Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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