//########################clustering#################################################
/*create partitions of 2 clusters. The partition returned is determinated by "cluster"
* 0<=cluster <50
*/
public IDataView get2clustered(int cluster)
{
if (cluster >= 50)
{
System.Console.WriteLine("More than 50 calls (2-clustered)");
}
float clusters_split = (sorted_data.Count / 51.0f) * (cluster + 1);
MinutiaData[] in_memory = new MinutiaData[sorted_data.Count];
for (int i = 0; i < sorted_data.Count; ++i)
{
sorted_data[i][269] = (i < clusters_split)? 0:1;
in_memory[i] = fromRow2Data(sorted_data[i]);
}
return(new MLContext().Data.LoadFromEnumerable <MinutiaData>(in_memory));
}
public IDataView get3clustered()
{
if (++calls3 > 50)
{
System.Console.WriteLine("More than 50 calls without reset (3-clustered)");
}
float segs = cnt_seg(50);
float seg_lenght = sorted_data.Count / segs;
if (clusters3idx_2 == segs)
{
clusters3idx_2 = ++clusters3idx_1 + 1;
}
int end_1 = (int)(seg_lenght * clusters3idx_1);
int end_2 = (int)(seg_lenght * clusters3idx_2);
MinutiaData[] in_memory = new MinutiaData[sorted_data.Count];
for (int i = 0; i < sorted_data.Count; ++i)
{
if (i < end_1)
{
sorted_data[i][269] = 0;
}
else if (i < end_2)
{
sorted_data[i][269] = 1;
}
else
{
sorted_data[i][269] = 2;
}
in_memory[i] = fromRow2Data(sorted_data[i]);
}
clusters3idx_2 += 1;
return(new MLContext().Data.LoadFromEnumerable <MinutiaData>(in_memory));
}
/*create partitions of 3 clusters. The partition returned is determinated by "cluster"
* 0<=cluster <50
*/
public IDataView get3clustered(int cluster)
{
if (cluster >= 50)
{
System.Console.WriteLine("More than 50 calls (3-clustered)");
}
float segs = cnt_seg(50);
float seg_lenght = sorted_data.Count / segs;
int[] idxs = find_idx(cluster, (int)segs);
int clusters3idx_2 = idxs[1];
int clusters3idx_1 = idxs[0];
int end_1 = (int)(seg_lenght * clusters3idx_1);
int end_2 = (int)(seg_lenght * clusters3idx_2);
MinutiaData[] in_memory = new MinutiaData[sorted_data.Count];
for (int i = 0; i < sorted_data.Count; ++i)
{
//labels for the clusters are are int (0,1,2)
if (i < end_1)
{
sorted_data[i][269] = 0;
}
else if (i < end_2)
{
sorted_data[i][269] = 1;
}
else
{
sorted_data[i][269] = 2;
}
in_memory[i] = fromRow2Data(sorted_data[i]);
}
return(new MLContext().Data.LoadFromEnumerable <MinutiaData>(in_memory));
}