91 lines
2.4 KiB
Java
91 lines
2.4 KiB
Java
package presenter.algorithms.naiv;
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import model.Line;
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import model.Point;
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import presenter.algorithms.Algorithm;
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import presenter.algorithms.util.FastElementSelector;
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import java.util.ArrayList;
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import java.util.Collections;
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import java.util.LinkedList;
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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: 15.09.2017.
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*/
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public class NaivLeastMedianOfSquaresEstimator implements Algorithm {
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private ArrayList<Point> set = new ArrayList<>();
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private Integer n;
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private Double ds, b, m;
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public NaivLeastMedianOfSquaresEstimator(LinkedList<Line> lines) {
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for (Line l :lines){
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set.add(new Point(l.getM(),l.getB()));
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}
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}
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private void crudeAlg(){
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ds = Double.MAX_VALUE;
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b = 0d;
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m = 0d;
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ArrayList<Point> triple = new ArrayList<>();
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Double beta;
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Double alpha;
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Double dijk;
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for (Point i : set){
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for (Point j : set) {
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for (Point k : set){
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triple.add(i);
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triple.add(j);
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triple.add(k);
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Collections.sort(triple);
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beta = (triple.get(0).getY() - triple.get(2).getY()) / (triple.get(0).getX() - triple.get(2).getX());
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alpha = (triple.get(1).getY() + triple.get(2).getY() - ( beta * (triple.get(1).getX() + triple.get(2).getX()))) / 2f;
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dijk = f(alpha, beta);
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if (dijk < ds){
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ds = dijk;
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b = alpha;
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m = beta;
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// System.out.printf("Distanz: %6.2f\tAlpha: %6.2f\tBeta: %6.2f",ds,b,m);
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}
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triple.clear();
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}
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}
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}
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System.out.printf("Naiv LMS: %6.2f * x + %6.3f\n", m, b);
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}
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private Double f(Double a, Double b){
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ArrayList<Double> res = new ArrayList<>();
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for (Point p : set){
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res.add(Math.abs(p.getY() - (a + b * p.getX())));
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}
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return FastElementSelector.randomizedSelect(res, res.size()/2);
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}
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@Override
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public void run() {
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crudeAlg();
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}
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@Override
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public void getResult() {
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}
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public Double getB() {
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return b * -1;
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}
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public Double getM() {
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return m * -1;
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}
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}
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