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FuzzyDBScan
View on CRAN: Click
here
Download and install FuzzyDBScan package within the R console
Install from CRAN:
install.packages("FuzzyDBScan")
Install from Github:
library("remotes")
install_github("cran/FuzzyDBScan")
Install by package version:
library("remotes")
install_version("FuzzyDBScan", "0.0.3")
Attach the package and use:
library("FuzzyDBScan")
Maintained by
Henri Funk
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-10
Latest Update: 2023-01-10
Description:
An interface for training Fuzzy DBScan with both Fuzzy Core and Fuzzy Border.
Therefore, the package provides a method to initialize and run the algorithm and a
function to predict new data w.t.h. of 'R6'.
The package is build upon the paper "Fuzzy Extensions of the DBScan algorithm"
from Ienco and Bordogna (2018) .
A predict function assigns new data according to the same criteria as the algorithm itself.
However, the prediction function freezes the algorithm to preserve the trained
cluster structure and treats each new prediction object individually.
How to cite:
Henri Funk (2023). FuzzyDBScan: Run and Predict a Fuzzy DBScan. R package version 0.0.3, https://cran.r-project.org/web/packages/FuzzyDBScan
Previous versions and publish date:
No previous versions
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Some associated functions: Fuzzy_DBScan .
Some associated R codes: FuzzyDBScan.R . Full FuzzyDBScan package functions and examples
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