private void Start()
{
data = new Vector3[sampleSize];
for (int i = 0; i < data.Length; i++)
{
float x = Random.Range(-1f, 1f);
float y = Random.Range(-1f, 1f);
float z = Random.Range(-1f, 1f);
data[i] = new Vector3(x, y, z) * spaceSize;
}
result = KMeans.Cluster(data, clustersCount, iterations, 0);
}
private void Start()
{
data = new Bounds[sampleSize];
for (int i = 0; i < data.Length; i++)
{
float x = Random.Range(-1f, 1f);
float y = Random.Range(-1f, 1f);
float z = Random.Range(-1f, 1f);
float sx = Random.Range(0.1f, boxMaxSize);
float sy = Random.Range(0.1f, boxMaxSize);
float sz = Random.Range(0.1f, boxMaxSize);
data[i] = new Bounds(new Vector3(x, y, z) * spaceSize, new Vector3(sx, sy, sz));
}
result = KMeans.Cluster(data, clustersCount, iterations, 0);
}
public void compute()
{
result = KMeans.Cluster(data, clustersCount, iterations, 0);
}
