RKEEL (version 1.3.3)

FuzzyKNN_C: 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

# NOT RUN {
#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
# }