package org.clustering4ever.spark.streamclustering
/**
* @author Ghesmoune
* @author ATTAOUI
*/
import java.io.Serializable
import breeze.linalg.Vector
final case class PointObj(
var pointPartNum: Vector[Double],//the numeric part of the data-point
val label: Int, //the real (provided) label (it is not used in the learning but for visualization and measuring performance criteria)
val id: Int //the identifier(=the line number) of the data-point
) extends Serializable {
/**
* @param pointPartNum the numeric part of the data-point
* @param label the real (provided) label (it is not used in the learning but for visualization and measuring performance criteria)
* @param id the identifier(=the line number) of the data-point
*/
override def toString: String = {
pointPartNum.toArray.deep.mkString(", ")
}
}
/**
*
*/
class streamData (val stream : Array[PointObj]) extends Serializable {
override def toString: String = {
stream.deep.mkString(", ")
}
}
/**
*
* @param protoPartNum
* @param idsDataAssigned
* @param id
*/
final case class Prototype(
var protoPartNum: Vector[Double],
var idsDataAssigned : Set[Int],
val id: Int
) extends Serializable {
override def toString: String = {toStringProto
"node: "+id +" -> " + protoPartNum.toArray.deep.mkString(", ")
}
def toStringIds: String = {
"node: " + id + " (" + idsDataAssigned.size + " data-points)" + " -> " + idsDataAssigned.toArray.deep.mkString(", ")
}
def toStringProto: String = {
protoPartNum.toArray.deep.mkString(", ")
}
def toStringCard: String = {
idsDataAssigned.size.toString()
}
def toStringAss: String = {
idsDataAssigned.toArray.deep.mkString(", ")
}
def toStringId: String = {
id.toString()
}
}
