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]
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 13 Apr. 2025.
Previous versions and publish date:
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
03/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/11Downloads for odetector3456789101112TrendBars

Today's Hot Picks in Authors and Packages

COMPoissonReg  
Conway-Maxwell Poisson (COM-Poisson) Regression
Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, ...
Download / Learn more Package Citations See dependency  
LDABiplots  
Biplot Graphical Interface for LDA Models
Contains the development of a tool that provides a web-based graphical user interface (GUI) to perf ...
Download / Learn more Package Citations See dependency  
SPOTMisc  
Misc Extensions for the "SPOT" Package
Implements additional models, simulation tools, and interfaces as extensions to 'SPOT'. It provides ...
Download / Learn more Package Citations See dependency  
MLeval  
Machine Learning Model Evaluation
Straightforward and detailed evaluation of machine learning models. 'MLeval' can produce receiver op ...
Download / Learn more Package Citations See dependency  
ggprism  
A 'ggplot2' Extension Inspired by 'GraphPad Prism'
Provides various themes, palettes, and other functions that are used to customise ggplots to look l ...
Download / Learn more Package Citations See dependency  
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  

24,012

R Packages

207,311

Dependencies

64,867

Author Associations

24,013

Publication Badges

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