Centroid.java class Centroid { private double mCx, mCy; private Cluster mCluster; public Centroid(double cx, double cy) { this.mCx = cx; this.mCy = cy; } public void calcCentroid() { //only called by CAInstance int numDP = mCluster.getNumDataPoints(); double tempX = 0, tempY = 0; int i; //caluclating the new Centroid for (i = 0; i < numDP; i++) { tempX = tempX + mCluster.getDataPoint(i).getX(); //total for x tempY = tempY + mCluster.getDataPoint(i).getY(); //total for y } this.mCx = tempX / numDP; this.mCy = tempY / numDP; //calculating the new Euclidean Distance for each Data Point tempX = 0; tempY = 0; for (i = 0; i < numDP; i++) { mCluster.getDataPoint(i).calcEuclideanDistance(); } //calculate the new Sum of Squares for the Cluster mCluster.calcSumOfSquares(); } public void setCluster(Cluster c) { this.mCluster = c; } public double getCx() { return mCx; } public double getCy() { return mCy; } public Cluster getCluster() { return mCluster; } }
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