@Override public float execute_float(ProgramChromosome c, int n, Object[] args) { int size = size(); DescriptiveStatistics stats = new DescriptiveStatistics(); for (int i = 0; i < size; i++) { stats.addValue(c.execute_float(n, i, args)); } return (float) stats.getSkewness(); }
/** * Copies source to dest. * * <p>Neither source nor dest can be null. * * <p>Acquires synchronization lock on source, then dest before copying. * * @param source SynchronizedDescriptiveStatistics to copy * @param dest SynchronizedDescriptiveStatistics to copy to * @throws NullPointerException if either source or dest is null */ public static void copy( SynchronizedDescriptiveStatistics source, SynchronizedDescriptiveStatistics dest) { synchronized (source) { synchronized (dest) { DescriptiveStatistics.copy(source, dest); } } }
/** {@inheritDoc} */ @Override public synchronized void clear() { super.clear(); }
/** {@inheritDoc} */ @Override public synchronized void addValue(double v) { super.addValue(v); }
/** {@inheritDoc} */ @Override public synchronized void setWindowSize(int windowSize) { super.setWindowSize(windowSize); }
public static void main(String[] args) { // TEST MEASURE // Point p1 = new Point(-1d, -1d); // Point p2 = new Point(2d, 3d); // System.out.println(measure.d(p1, p2)); // System.out.println(measure.s(p1, p2)); // return; Double[][] data = FileHandler.readFile(fileName); // cannot display points if dimension is > 2 if (data[0].length != 2) canDisplay = false; // build graphic points from coords' array buildPointsFromData(data); Config.computeBoundingRect(points); // init display if (canDisplay) { disp = new Display(); disp.setVisible(true); for (Point p : points) { disp.addObject(p); } } testResults = new double[nbTests]; for (int t = 0; t < nbTests; ++t) { // define K clusters and K temporary centres clusters = new ArrayList<Cluster>(); for (int i = 0; i < K; ++i) { clusters.add(new Cluster()); } setRandomCenters(); for (Cluster c : clusters) { System.out.println("center for cluster " + c + ": " + c.getCenter()); } if (canDisplay) pause(1000); // variables used in for loops double minDist, currDist, diff; Double[] prevCoords, newCoords; Cluster alloc; Point newCenter; for (int i = 0; i < maxIter; ++i) { if (canDisplay) { disp.setLabel("[ iteration #" + (i + 1) + " ]"); } else { System.out.println("------> iteration #" + (i + 1)); } // allocate points to group which center is closest for (Point p : points) { minDist = Config.MAX; alloc = clusters.get(0); // default initialization for (Cluster c : clusters) { currDist = measure.d(p, c.getCenter()); if (currDist < minDist) { minDist = currDist; alloc = c; } } alloc.addPoint(p); } // recenter: calculate gravity centers for formed groups diff = 0; prevCoords = null; for (Cluster c : clusters) { // delete previous center if it not a Point of the Cluster if (canDisplay && !c.getPoints().contains(c.getCenter())) { disp.removeObject(c.getCenter()); } if (stopOnConverge) { prevCoords = c.getCenter().getCoords(); } newCenter = c.makeGravityCenter(); if (stopOnConverge) { newCoords = c.getCenter().getCoords(); for (int k = 0; k < prevCoords.length; ++k) { diff += Math.abs(prevCoords[k] - newCoords[k]); } } if (canDisplay) { disp.addObject(newCenter); } else { // System.out.println("\tcenter for " + c + ": " + c.getCenter()); System.out.println(c.getCenter()); } } // loop over clusters if (canDisplay) { disp.repaint(); } // if Clusters' centers don't change anymore, then stop (algorithm converged) if (diff == 0 && stopOnConverge) { testResults[t] = (double) i; if (canDisplay) { disp.setLabel("[ Converged at iteration #" + (i) + " ]"); disp.repaint(); } else { System.out.println("[ Converged at iteration #" + (i) + " ]"); } break; } pause(100); } // loop over iterations if (testResults[t] == 0) { System.out.println("!!!!!!!!!! Test #" + t + " did not converge."); if (stopOnConverge) return; } // reset display if (canDisplay && t + 1 < nbTests) { for (Point p : points) p.setCluster(null); for (Cluster c : clusters) disp.removeObject(c.getCenter()); } } // loop over tests // display test results and compute means DescriptiveStatistics stats = new DescriptiveStatistics(testResults); System.out.println("=========> Results:"); for (int t = 0; t < nbTests; ++t) { System.out.println("--> [ " + testResults[t] + " ]"); } System.out.println("=========> Means: " + stats.getMean()); System.out.println("=========> Std dev: " + stats.getStandardDeviation()); }