public static MultipartiteWeightTensor computeSimilarityTensor(List <List <Segment> > polygons)
{
MultipartiteWeightTensor ret = new MultipartiteWeightTensor(polygons.Count);
for (int i = 0; i < ret.noParts; i++)
{
ret.setNumPartitionElements(i, polygons[i].Count);
}
for (int i = 0; i < ret.noParts - 1; i++)
{
for (int j = i + 1; j < ret.noParts; j++)
{
double[,] sim = computeSimilarities(polygons[i], polygons[j]);
ret.setWeightMatrix(i, j, sim);
}
}
return(ret);
}
public static MultipartiteWeightTensor computeSimilarityTensor <T>(List <List <T> > objs, ComputeSimilarityFunction <T> similarity)
{
MultipartiteWeightTensor ret = new MultipartiteWeightTensor(objs.Count);
for (int i = 0; i < ret.noParts; i++)
{
ret.setNumPartitionElements(i, objs[i].Count);
}
for (int i = 0; i < ret.noParts - 1; i++)
{
for (int j = i + 1; j < ret.noParts; j++)
{
double[,] sim = computeSimilarities <T>(objs[i], objs[j], similarity);
ret.setWeightMatrix(i, j, sim);
}
}
return(ret);
}
public static MultipartiteWeightTensor computeTrackSimilarityTensor(List <MultiObjectTrackingResult> cts_list, ICompressedTrackSimilarityMetric metric)
{
MultipartiteWeightTensor ret = new MultipartiteWeightTensor(cts_list.Count);
for (int i = 0; i < cts_list.Count; i++)
{
ret.setNumPartitionElements(i, cts_list[i].tracks.Count);
}
for (int i = 0; i < cts_list.Count; i++)
{
double[,] sim = computeTrackSimilarityMatrix(cts_list[i], cts_list[i], metric);
ret.setWeightMatrix(i, i, sim);
for (int j = i + 1; j < cts_list.Count; j++)
{
sim = computeTrackSimilarityMatrix(cts_list[i], cts_list[j], metric);
ret.setWeightMatrix(i, j, sim);
double[,] sim_t = MatrixOperations.Transpose(sim);
ret.setWeightMatrix(j, i, sim_t);
}
}
return(ret);
}
