public static int[] calculateVectorSpace(BufferedImage image) {
clusters = createClusters(image);
int[] vectorSpace = new int[IMAGE_WIDTH * IMAGE_HEIGHT];
Arrays.fill(vectorSpace, -1);
boolean refineNeeded = true;
int loops = 0;
while (refineNeeded) {
refineNeeded = false;
loops++;
for (int y = 0; y < IMAGE_HEIGHT; y++) {
for (int x = 0; x < IMAGE_WIDTH; x++) {
int pixel = image.getRGB(x, y);
Cluster cluster = getMinCluster(pixel);
if (vectorSpace[IMAGE_WIDTH * y + x] != cluster.getId()) {
if (vectorSpace[IMAGE_WIDTH * y + x] != -1) {
clusters[vectorSpace[IMAGE_WIDTH * y + x]].removePixel(pixel);
}
cluster.addPixel(pixel);
refineNeeded = true;
vectorSpace[IMAGE_WIDTH * y + x] = cluster.getId();
}
}
}
}
System.out.println("Took " + loops + " loops.");
return vectorSpace;
}
@Override
protected void map(WritableComparable<?> key, Text point, Context context)
throws IOException, InterruptedException {
Cluster nearestCluster = null;
double nearestDistance = Double.MAX_VALUE;
Vector pointv = parse.parseVector(point.toString());
if (pointv == null) {
return;
}
pointv.setNumPoints(1);
for (Cluster cluster : clusters) {
Vector clusterCenter = cluster.getCenter();
boolean isDeny = pointv.Deny(clusterCenter);
if (isDeny) {
continue;
}
double distance = clusterCenter.distiance(pointv);
context.getCounter("Clustering", "similar").increment(1);
if (distance <= nearestDistance || nearestCluster == null) {
nearestCluster = cluster;
nearestDistance = distance;
}
}
if (nearestCluster != null) {
context.write(new Text(String.valueOf(nearestCluster.getId())), pointv);
}
}
protected void cleanup(Context context) throws IOException, InterruptedException {
for (Cluster cluster : clusters) {
Vector clusterCenter = cluster.getCenter();
clusterCenter.setNumPoints(0);
context.write(new Text(String.valueOf(cluster.getId())), clusterCenter);
}
}
