RKEEL (version 1.3.4)

KMeans_MV: KMeans_MV KEEL Preprocess Algorithm

Description

KMeans_MV Preprocess Algorithm from KEEL.

Usage

KMeans_MV(train, test, k, error, iterations, seed)

Value

A data.frame with the preprocessed data for both train and test datasets.

Arguments

train

Train dataset as a data.frame object

test

Test dataset as a data.frame object

k

k. Default value = 10

error

error. Default value = 100

iterations

iterations. Default value = 100

seed

Seed for random numbers. If it is not assigned a value, the seed will be a random number

Examples

data_train <- RKEEL::loadKeelDataset("car_train")
data_test <- RKEEL::loadKeelDataset("car_test")

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

#Run algorithm
algorithm$run()

#See results
algorithm$preprocessed_test