public float Distance(IKMeansData data)
{
float sumSquaredDiffs = 0.0f;
for (int j = 0; j < values.Length; ++j)
{
sumSquaredDiffs += Mathf.Pow((values[j] - data.Value(j)), 2);
}
return(Mathf.Sqrt(sumSquaredDiffs));
}
//obselte, dont use;
private static IKMeansData[] Allocate(int numClusters, int numColumns)
{
// convenience matrix allocator for Cluster()
IKMeansData[] result = new IKMeansData[numClusters];
// for (int k = 0; k < numClusters; ++k)
// {
// result[k] = (IKMeansData) (new System.Object());
// result[k].InitData(numColumns);
// }
return(result);
}
