public static void main(String[] args) {
int i, j;
int n, k, dim;
kMeans cluster;
Scanner sc = new Scanner(System.in);
k = sc.nextInt();
n = sc.nextInt();
dim = sc.nextInt();
Point[] tmpPoints = new Point[n];
for (i = 0; i < n; i++) {
double[] num = new double[dim];
for (j = 0; j < dim; j++) num[j] = sc.nextDouble();
tmpPoints[i] = new Point(dim, num);
}
cluster = new kMeans(k, tmpPoints);
cluster.getCluster();
// calculate the sse value after clustering
cluster.sseValue = 0.0;
for (i = 0; i < n; i++) {
cluster.sseValue +=
cluster.points[i].distEuclid(cluster.centroids[cluster.points[i].clusterIndex]);
}
System.out.println("The SSE of after clustering is: " + cluster.sseValue);
/*
int[] clusterCount = new int[k];
for(i = 0; i < k; i++){
clusterCount[i] = 0;
}
for(i = 0; i < cluster.points.length; i++){
clusterCount[cluster.points[i].clusterIndex]++;
//System.out.print(cluster.points[i].clusterIndex);
//System.out.print(" ");
}
System.out.println(" ");
for(i = 0; i < k; i++){
System.out.println(clusterCount[i]);
}
*/
}
