Ejemplo n.º 1
0
	//质心发生变化后用平均值来重新计算质心
	public double[] findCentroid(Cluster c) {

		Set<DataPoint> clusterPoints = c.getElements();
		int n = clusterPoints.size();

		if (n == 0) {
			return new double[0];
		}

		int d = c.getDimensionCount();
		double[] meanAttributes = new double[d];

		for (DataPoint p : clusterPoints) {
			double[] pointAttributes = p.getNumericAttrValues();
			for (int i = 0; i < d; i++) {
				meanAttributes[i] += pointAttributes[i];
			}
		}

		for (int i = 0; i < d; i++) {
			meanAttributes[i] = meanAttributes[i] / n;
		}

		return meanAttributes;
	}
Ejemplo n.º 2
0
	//打印结果
	public void print() {
		Cluster[] clusters = this.getAllClusters();

		System.out.println("Clusters:");
		for (Cluster c : clusters) {
			System.out.println(c.getElementsAsString());
		}
	}
Ejemplo n.º 3
0
 public Cluster findClusterByElement(DataPoint e) {
   Cluster cluster = null;
   for (Cluster c : allClusters) {
     if (c.contains(e)) {
       cluster = c;
       break;
     }
   }
   return cluster;
 }