GamWeightData

<p>A dataset simulated containing training data from a Gamma Distribution</p>

datasets

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>.

Jodavid Ferreira

FuzzyClass

Fuzzy and Non-Fuzzy Classifiers

Ronei Moraes

Liliane Machado

Arthur Ricardo

Isaac Araújo

GamWeightData function

<p>A dataset with 600 rows and 4 variables with 1 label.</p>

Format

Gamma Weighted Data — GamWeightData

Gamma Weighted Data

GamWeightData: Gamma Weighted Data

Description

Usage

Arguments

Format