Package: FuzzyClass 0.2.0

Jodavid Ferreira

FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>.

Authors:Jodavid Ferreira [aut, cre], Ronei Moraes [ctb], Liliane Machado [ctb], Arthur Ricardo [ctb], Isaac Araújo [ctb]

FuzzyClass_0.2.0.tar.gz
FuzzyClass_0.2.0.zip(r-4.7-any)FuzzyClass_0.2.0.zip(r-4.6-any)FuzzyClass_0.2.0.zip(r-4.5-any)
FuzzyClass_0.2.0.tgz(r-4.6-any)FuzzyClass_0.2.0.tgz(r-4.5-any)
FuzzyClass_0.2.0.tar.gz(r-4.7-any)FuzzyClass_0.2.0.tar.gz(r-4.6-any)
FuzzyClass_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
FuzzyClass/json (API)

# Install 'FuzzyClass' in R:
install.packages('FuzzyClass', repos = c('https://leapigufpb.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/leapigufpb/fuzzyclass/issues

Pkgdown/docs site:https://leapigufpb.github.io

Datasets:

On CRAN:

Conda:

fuzzymachine-learning

4.32 score 1 stars 21 scripts 358 downloads 31 exports 30 dependencies

Last updated from:20240b4168. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK212
linux-releaseOK148
macos-releaseOK101
macos-oldrelOK110
windows-develOK89
windows-releaseOK75
windows-oldrelOK75
wasm-releaseOK108

Exports:AggregationANDcentroidFScompFSdmFSDWFuzzyGammaNaiveBayesDWFuzzyHipergeometricNaiveBayesExpNBFuzzyParamFuzzyBayesRuleFuzzyBetaNaiveBayesFuzzyBinomialNaiveBayesFuzzyExponentialNaiveBayesFuzzyGammaNaiveBayesFuzzyGaussianNaiveBayesFuzzyGeoNaiveBayesFuzzyHipergeometricNaiveBayesFuzzyNaiveBayesFuzzyPoissonNaiveBayesFuzzyTrapezoidalNaiveBayesFuzzyTriangularNaiveBayesGauFSGauNBFuzzyParamImplicationNOTORplotFSPoiNBFuzzyParamSet.UniverseTraFSTriFSuniFS

Dependencies:bitopscaToolsclassclicpp11e1071EnvStatsfarverggplot2gluegtableisobandlabelinglifecycleMASSmvtnormnortestproxyR6rbibutilsRColorBrewerRdpackrlangrootSolveS7scalestrapezoidvctrsviridisLitewithr

Using FuzzyClass
Exploratory Data Analysis of the Iris Dataset | Loading the Data | Summary Statistics | Data Visualization | Sepal Length vs. Sepal Width | Petal Length vs. Petal Width | The Classification Problem | Solving the Problem with FuzzyClass
Rendered fromFuzzyClass.Rmdusingknitr::rmarkdown

Last update: 2026-10-09
Started: 2023-08-10

Using FuzzyClass: Solving a Classification Problem
Exploratory Data Analysis of the Iris Dataset | Loading the Data | Summary Statistics | Data Visualization | Sepal Length vs. Sepal Width | Petal Length vs. Petal Width | The Classification Problem | Solving the Problem with FuzzyClass
Rendered fromindex.Rmdusingknitr::rmarkdown

Last update: 2026-10-09
Started: 2023-08-16