R/KNN-C.R

In RKEEL: Using 'KEEL' in R Code

#Class implementing a Classification Algorithm
  #Implements the KNN-C KEEL classification algorithm

KNN_C <- function(train, test, k=1, distance="Euclidean"){
  alg <- RKEEL::R6_KNN_C$new()
  alg$setParameters(train, test, k, distance)
  return (alg)
}

R6_KNN_C <- R6::R6Class("R6_KNN_C",

  inherit = ClassificationAlgorithm,

  public = list(

    #Public properties

    #k: num of nearest neighbours
    k = 1,

    #distance type
    distance = "Euclidean",


    #Public functions

    #Initialize function
    setParameters = function(train, test, k=1, distance="Euclidean"){

      super$setParameters(train, test)

      self$k <- k

      if((tolower(distance) == "euclidean") || (tolower(distance) == "manhattan") || (tolower(distance) == "hvdm")){
        self$distance <- distance
      }
      else{
        #Default value of distance type
        self$distance <- "Euclidean"
      }

    }


  ),

  private = list(

    #Private properties

    #jar Filename
    jarName = "KNN.jar",

    #algorithm name
    algorithmName = "KNN-C",

    #String with algorithm name
    algorithmString = "K Nearest Neighbors Classifier",


    #Private functions

    #Get the text with the parameters for the config file
    getParametersText = function(){

      text <- ""
      text <- paste0(text, "K Value = ", self$k, "\n")
      text <- paste0(text, "Distance Function = ", self$distance, "\n")

      return(text)

    }
  )
)