public void PlotIerarhicalVerticalDiagram(NTree myTree)
{
double max = myTree.distance;
double min = 0;
step1 = (max - min) / (height * myCoefficient);
step2 = (double)(myTree.claster.GetObjects().Count) / width;
int i = 0;
PointF newPoint = recursivePlotting(myTree);
foreach (var objects in myTree.claster.GetObjects())
{
Font drawFont = new Font("Arial", 10, FontStyle.Regular);
SolidBrush drawBrush = new SolidBrush(Color.Blue);
PointF drawPoint = new PointF((float)(0.5 / step2 + (i) / step2) - 5, (float)(height * myCoefficient));
graphics.DrawString((allobjects.IndexOf(objects) + 1).ToString(), drawFont, drawBrush, drawPoint);
i++;
}
pictureBox1.Image = bitmap;
}
private void RedrawVertClasteriz(NTree mytree)
{
WriteNubersObj();
foreach (var tree in mytree.trees)
{
if (tree.is_in_big_claster)
{
graphics.DrawLine(pen, tree.topPoint.X, tree.topPoint.Y, tree.bottomPoint.X,
tree.bottomPoint.Y);
}
if (mytree.trees.Count > 1 && mytree.trees[0].is_in_big_claster && mytree.is_in_big_claster)
{
graphics.DrawLine(pen, mytree.trees[0].bottomPoint.X, mytree.trees[0].bottomPoint.Y, (mytree.trees[1].bottomPoint.X + mytree.trees[0].bottomPoint.X) / 2, mytree.trees[1].bottomPoint.Y);
}
if (mytree.trees.Count > 1 && mytree.trees[1].is_in_big_claster && mytree.is_in_big_claster)
{
graphics.DrawLine(pen, (mytree.trees[1].bottomPoint.X + mytree.trees[0].bottomPoint.X) / 2, mytree.trees[0].bottomPoint.Y, mytree.trees[1].bottomPoint.X, mytree.trees[1].bottomPoint.Y);
}
if (mytree.trees.Count > 1 && mytree.trees[1].is_in_big_claster && mytree.trees[0].is_in_big_claster)
{
graphics.DrawLine(pen, mytree.trees[0].bottomPoint.X, mytree.trees[0].bottomPoint.Y, mytree.trees[1].bottomPoint.X, mytree.trees[1].bottomPoint.Y);
}
RedrawVertClasteriz(tree);
}
pictureBox1.Image = bitmap;
}
public List <Claster> GetMeClasters()
{
list_of_clasters = new List <Claster>();
NTree searchingTree = this;
return(list_of_clasters);
}
public NTree GetTreeWhereExist(NTree my_tree, NTree tree) // ищем корень этого листа (дерево к котором это дерево - лист)
{
NTree res = null;
foreach (var is_thisTree in my_tree.trees)
{
if (is_thisTree == tree)
{
res = my_tree;
}
if (res == null)
{
res = GetTreeWhereExist(is_thisTree, tree);
}
}
return(res);
}
public Claster GetNeighborhoods(MyObject obj)
{
NTree searchingTree = this;
Claster result = null;
while (searchingTree.claster.GetObjects().Count != 1)
{
foreach (var nTree in searchingTree.trees)
{
if (nTree.claster.GetObjects().IndexOf(obj) >= 0)
{
result = searchingTree.claster;
searchingTree = nTree;
break;
}
}
}
return(result);
}
public double GetDistanseInFirstClasterization(MyObject obj) // расстояние на котором объект вошел в кластер
{
NTree searchingTree = this;
double result = 0;
while (searchingTree.claster.GetObjects().Count != 1 && searchingTree.trees.Count != 0)
{
foreach (var nTree in searchingTree.trees)
{
if (nTree.claster.GetObjects().IndexOf(obj) >= 0)
{
result = searchingTree.distance;
searchingTree = nTree;
break;
}
}
}
return(result);
}
private void DelLineInTrassir(NTree mytree, PointF point) // удаление трассировкой(без учета коорд Х)
{
foreach (var tree in mytree.trees)
{
if (tree.bottomPoint.Y < point.Y && tree.topPoint.Y > point.Y)
{
tree.is_in_big_claster = false;
list_of_claster.Add(tree.claster);
UpdateListOfClaster();
}
else
{
DelLineInTrassir(tree, point);
}
if (!mytree.trees[1].is_in_big_claster && !mytree.trees[0].is_in_big_claster)
{
mytree.is_in_big_claster = false;
list_of_claster.Remove(mytree.claster);
}
}
}
private void DelLine(NTree mytree, PointF point)
{
foreach (var tree in mytree.trees)
{
if (tree.topPoint.X + 2 > point.X && tree.topPoint.X - 2 < point.X && tree.bottomPoint.Y < point.Y &&
tree.topPoint.Y > point.Y)
{
tree.is_in_big_claster = false;
list_of_claster.Add(tree.claster);
UpdateListOfClaster();
}
else
{
DelLine(tree, point);
}
if (!mytree.trees[1].is_in_big_claster && !mytree.trees[0].is_in_big_claster)
{
mytree.is_in_big_claster = false;
list_of_claster.Remove(mytree.claster);
}
}
}
public PointF recursivePlotting(NTree tree)
{
PointF res = new PointF(0, 0);
foreach (var my_tree in tree.trees)
{
if (my_tree.trees.Count == 0 && my_tree.claster.GetObjects().Count > 1)
{
double distanseForObject = myTree.GetDistanseInFirstClasterization(my_tree.claster.GetObjects()[0]);
// горизонтальная линия
graphics.DrawLine(pen,
(float)(0.5 / step2 + (myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0])) / step2),
(float)(height * myCoefficient),
(float)(0.5 / step2 + ((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[my_tree.claster.GetObjects().Count - 1]))) / step2),
(float)(height * myCoefficient));
float x = (float)(0.5 * ((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0])) / step2 + (myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[my_tree.claster.GetObjects().Count - 1])) / step2));
// вертикальная линия
graphics.DrawLine(pen,
(float)(0.5 / step2 + x),
(float)(height * myCoefficient),
(float)(0.5 / step2 + x),
(float)(height * myCoefficient - distanseForObject / step1));
// запоминаем точки вертик линии
my_tree.TakePoint(new PointF((float)(0.5 / step2 + x),
(float)(height * myCoefficient - distanseForObject / step1)),
new PointF((float)(0.5 / step2 + x),
(float)(height * myCoefficient)));
if (res == new PointF(0, 0))
{
res.X = (float)(0.5 / step2 + x);
res.Y = (float)(height * myCoefficient - distanseForObject / step1);
}
else // соединяем два кластера
{
graphics.DrawLine(pen, res.X, res.Y,
(float)(0.5 / step2 + x), (float)(height * myCoefficient - distanseForObject / step1));
res.X =
((float)
((0.5 / step2 + x) + res.X) / 2);
res.Y = (float)(height * myCoefficient - distanseForObject / step1);
}
}
else
{
if (my_tree.claster.GetObjects().Count == 1)
{
double distanseForObject = myTree.GetDistanseInFirstClasterization(my_tree.claster.GetObjects()[0]);
graphics.DrawLine(pen,
(float)(0.5 / step2 + (myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0])) / step2),
(float)(height * myCoefficient),
(float)(0.5 / step2 + ((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0]))) / step2),
(float)(height * myCoefficient - distanseForObject / step1));
// запоминаем точки вертик линии
my_tree.TakePoint(new PointF((float)(0.5 / step2 + ((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0]))) / step2),
(float)(height * myCoefficient - distanseForObject / step1)),
new PointF((float)(0.5 / step2 + (myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0])) / step2),
(float)(height * myCoefficient)));
if (res == new PointF(0, 0))
{
res.X = (float)(0.5 / step2 + ((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0]))) / step2);
res.Y = (float)(height * myCoefficient - distanseForObject / step1);
}
else // соединяем два одиночных кластера
{
graphics.DrawLine(pen, res.X, res.Y,
(float)
(0.5 / step2 +
((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0]))) /
step2), (float)(height * myCoefficient - distanseForObject / step1));
res.X =
((float)
(0.5 / step2 +
((myTree.claster.GetObjects().IndexOf(my_tree.claster.GetObjects()[0]))) / step2) +
res.X) / 2;
res.Y = (float)(height * myCoefficient - distanseForObject / step1);
}
}
else // в кластере не 1 объект
{
PointF midlepoint = recursivePlotting(my_tree);
if (res == new PointF(0, 0))
{
res = midlepoint;
}
else
{
double distanseForClaster = tree.distance;
//гориз линия
graphics.DrawLine(pen, res.X, (float)(height * myCoefficient - distanseForClaster / step1), midlepoint.X, (float)(height * myCoefficient - distanseForClaster / step1));
//2 верт линии левая и правая
graphics.DrawLine(pen, res.X, (float)(height * myCoefficient - distanseForClaster / step1), res.X, res.Y);
// запоминаем точки вертик линии
// my_tree.trees[0].TakePoint(new PointF(res.X, (float)(height * myCoefficient - distanseForClaster / step1)), res);
graphics.DrawLine(pen, midlepoint.X, (float)(height * myCoefficient - distanseForClaster / step1), midlepoint.X, midlepoint.Y);
// запоминаем точки вертик линии
// my_tree.trees[1].TakePoint(new PointF(midlepoint.X, (float)(height * myCoefficient - distanseForClaster / step1)), midlepoint);
NTree myUppertree = GetTreeWhereExist(myTree, my_tree); // дерево в котором это дерево - поддерево
// запоминаем точки вертик линии - если только не одиночный объект, потому что distanseForClaster=0
if (myUppertree.trees[0].claster.GetObjects().Count > 1 && myUppertree.trees[0].trees.Count > 0)
{
myUppertree.trees[0].TakePoint(new PointF(res.X, (float)(height * myCoefficient - distanseForClaster / step1)), res);
}
if (myUppertree.trees[1].claster.GetObjects().Count > 1 && myUppertree.trees[1].trees.Count > 0)
{
myUppertree.trees[1].TakePoint(new PointF(midlepoint.X, (float)(height * myCoefficient - distanseForClaster / step1)), midlepoint);
}
res.X = (res.X + midlepoint.X) / 2;
res.Y = (float)(height * myCoefficient - distanseForClaster / step1);
}
}
}
}
return(res);
}
public void TakeTree(NTree myNewTree)
{
myTree = myNewTree;
}
public NTree Do_Ierarhical_Clasterization()
{
int counter;
while (trees.Count > 1)
{
counter = trees.Count;
double[,] distance = new double[counter, counter];
double minDist = double.MaxValue; //!!!!!!!!!!!!!!!!!!!!!!!!! TODO error was here because int less than double
int tmp = 0;
for (int i = 0; i < counter; i++)
{
for (int j = i + 1; j < counter; j++)
{
if (i != j)
{
// MyObject obj1 = Claster.GetCenterOfMassInThisClaster(trees[i].claster.GetObjects());
//MyObject obj2 = Claster.GetCenterOfMassInThisClaster(trees[j].claster.GetObjects());
// distance[i, j] = Claster.GetDistanceFromObjectToCentroid(obj1, obj2);
if (trees[j].claster != null && trees[i].claster != null)
{
distance[i, j] = trees[j].claster.GetAverangeIntergroupDistanceBetweenClasters(
trees[i].claster.GetObjects(), trees[j].claster.GetObjects()
);
}
// теперь без самопересечений
if (minDist > distance[i, j])
{
minDist = distance[i, j];
tmp = i;
}
}
}
}
Claster new_claster = null;
NTree new_tree = null;
int[] nums = new int[trees.Count]; // смотрим какие кластеры на этом шаге попали в объединение
// for (int k = 0; k < counter; k++)
// {
int k = tmp;
for (int j = k + 1; j < counter; j++)
{
if (minDist == distance[k, j])
{
nums[k] = 1;
nums[j] = 1;
break; // для бинарности добавления
}
}
// }
new_tree = new NTree(minDist, new_claster);
for (int i = 0; i < counter; i++)
{
if (nums[i] == 1)
{
new_claster = JoinClasters(new_claster, trees[i].claster);
new_tree.trees.Add(trees[i]);
}
}
/////
if (new_claster == null)
{
System.Windows.Forms.MessageBox.Show("axaxaxax!");
}
//////
new_tree.claster = new_claster;
for (int i = counter - 1; i >= 0; i--)
{
if (nums[i] == 1)
{
trees.Remove(trees[i]);
}
}
if (new_tree != null && new_tree.claster != null) //на нуль проверку сделал
{
trees.Add(new_tree);
}
////
foreach (var tree in trees)
{
if (tree.claster == null)
{
System.Windows.Forms.MessageBox.Show("axaxaxax!");
}
}
/////
this.distance = minDist;
}
return(this);
}