FuzzyKNN-C: FuzzyKNN_C KEEL Classification Algorithm

In RKEEL: Using 'KEEL' in R Code

FuzzyKNN_C KEEL Classification Algorithm

Description

FuzzyKNN_C Classification Algorithm from KEEL.

Usage

FuzzyKNN_C(train, test, k, M, initialization, init_k)

Arguments

train	Train dataset as a data.frame object
test	Test dataset as a data.frame object
k	k. Default value = 3
M	M. Default value = 2.0
initialization	initialization. Default value = "CRISP"
init_k	init_k. Default value = 3

Value

A data.frame with the actual and predicted classes for both train and test datasets.

Examples

data_train <- RKEEL::loadKeelDataset("iris_train")
data_test <- RKEEL::loadKeelDataset("iris_test")

#Create algorithm
algorithm <- RKEEL::FuzzyKNN_C(data_train, data_test)

#Run algorithm
algorithm$run()

#See results
algorithm$testPredictions

RKEEL documentation built on Sept. 15, 2023, 1:08 a.m.