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#Class implementing a Classification Algorithm
#Implements the FuzzyKNN-C KEEL classification algorithm
FuzzyKNN_C <- function(train, test, k=3, M=2.0, initialization="CRISP", init_k=3){
alg <- RKEEL::R6_FuzzyKNN_C$new()
alg$setParameters(train, test, k, M, initialization, init_k)
return (alg)
}
R6_FuzzyKNN_C <- R6::R6Class("R6_FuzzyKNN_C",
inherit = ClassificationAlgorithm,
public = list(
#Public properties
#k
k = 3,
#M
M = 2.0,
#initialization
initialization = "CRISP",
#k value (init)
init_k = 3,
#Public functions
#Initialize function
setParameters = function(train, test, k=3, M=2.0, initialization="CRISP",
init_k=3){
super$setParameters(train, test)
self$k <- k
self$M <- M
if((tolower(initialization) == "crisp") || (tolower(initialization) == "class-mean") || (tolower(initialization) == "knn")){
self$initialization <- toupper(initialization)
}
else{
#Default value of distance type
self$distance <- "CRISP"
}
self$init_k <- init_k
}
),
private = list(
#Private properties
#jar Filename
jarName = "FuzzyKNN.jar",
#algorithm name
algorithmName = "FuzzyKNN-C",
#String with algorithm name
algorithmString = "FuzzyKNN",
#Private functions
#Get the text with the parameters for the config file
getParametersText = function(){
text <- ""
text <- paste0(text, "K Value = ", self$k, "\n")
text <- paste0(text, "M = ", self$M, "\n")
text <- paste0(text, "Initialization = ", self$initialization, "\n")
text <- paste0(text, "K Value (init) = ", self$init_k, "\n")
return(text)
}
)
)
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