98 lines
2.5 KiB
Java
98 lines
2.5 KiB
Java
package Presenter.Generator;
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import Model.Line;
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import java.util.HashMap;
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import java.util.LinkedList;
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import java.util.Observable;
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import java.util.Random;
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/**
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* Implementierung verschiedener Algorithmen zur Berechnung von Ausgleichsgeraden.
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*
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* @Author: Armin Wolf
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* @Email: a_wolf28@uni-muenster.de
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* @Date: 01.08.2017.
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*/
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public class DatasetGenerator extends Observable{
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private Double m;
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private Double b;
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private Random random;
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public DatasetGenerator(Double m, Double b){
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this.m = m;
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this.b = b;
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random = new Random();
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random.setSeed(9999);
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}
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public DatasetGenerator(){
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random = new Random();
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}
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public LinkedList<Line> generateDataCloud(){
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LinkedList<Line> lines = new LinkedList<>();
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m = 1 + random.nextDouble();
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b = random.nextDouble();
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for (int i=1;i<101;i++){
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double y = (random.nextGaussian() * 100) % 100;
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double signal = m * i + b;
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signal *= -1;
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Line line = new Line((double) i, signal - y);
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line.setId(i-1+"");
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lines.add(line);
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}
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String[] ret = {"generator","Es wurden "+100+" Daten generiert mit den Parametern",
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"</br> <b>m</b> = "+m+"",
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"</br> <b>b</b> = "+b+""};
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setChanged();
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notifyObservers(ret);
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return lines;
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}
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public LinkedList<Line> generateDataLines(){
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LinkedList<Line> lines = new LinkedList<>();
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m = 1 + random.nextDouble();
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b = random.nextDouble();
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int size = 0;
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HashMap<Double, Double> points = new HashMap<>();
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//speichere die Koordinaten in einer HashMap, damit keine Punkte
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//entstehen deren x-Koordinate zu sehr beieinander liegt.
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while (size < 100){
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double y = (random.nextGaussian() * 100) % 100;
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double signal = m * y + b;
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signal *= -1;
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if (!points.containsKey(y)){
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points.put(y,signal);
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size++;
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}
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}
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int idx = 1;
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for (Double d :points.keySet()) {
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Line line = new Line((double) d, points.get(d));
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line.setId(idx-1+"");
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lines.add(line);
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idx++;
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}
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String[] ret = {"generator","Es wurden "+100+" Daten generiert mit den Parametern",
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"</br> <b>m</b> = "+m+"",
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"</br> <b>b</b> = "+b+""};
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setChanged();
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notifyObservers(ret);
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return lines;
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}
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}
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