private void Cluster_button_Click(object sender, EventArgs e)
{
isFuzzyClustering = false;
isHierarchicalClustering = false;
for (int i = 0; i < points.Count; i++)
{
((Point)points[i]).cluster_numbers.Clear();
}
if (LikeClassInfo_rb.Checked)
{
GenerationTypes form = new GenerationTypes();
form.ShowDialog();
if (form.isForHierarchicalClustering)
{
isHierarchicalClustering = true;
dendrogram = CreateClassesDendrogram();
}
else if (form.isForFuzzyClustering)
{
isFuzzyClustering = true;
CreateClassesMembershipMatrix();
}
else
{
for (int i = 0; i < points.Count; i++)
{
((Point)points[i]).cluster_numbers.Add((int)((ArrayList)ClassInfo[i])[0]);
}
}
}
else if (ClusteringAlgorithms_rb.Checked)
{
ClusteringForm form = new ClusteringForm(points, LowerBorders, UpperBorders, true);
form.ShowDialog();
if (form.isHierarchicalClustering)
{
isHierarchicalClustering = true;
dendrogram = form.getDendrogram();
}
else if (form.isFuzzyClustering)
{
isFuzzyClustering = true;
MembershipMatrix = form.getMemebershipMatrix();
}
else
{
points = form.getPoints();
}
}
else if (Random_rb.Checked)
{
GenerationTypes form = new GenerationTypes();
form.ShowDialog();
if (form.isWithoutNoise)
{
CreateRandomClustersWithoutNoise();
}
else if (form.isWithNoise)
{
CreateRandomClustersWithNoise();
}
else if (form.isForHierarchicalClustering)
{
isHierarchicalClustering = true;
CreateRandomDendrogram();
}
else if (form.isForFuzzyClustering)
{
isFuzzyClustering = true;
CreateRandomMembershipMatrix();
}
}
isClustered = true;
Close();
}
private void Non_clustered_button_Click(object sender, EventArgs e)
{
GenerationTypes form = new GenerationTypes();
form.ShowDialog();
if (!form.isGenerationButtonPressed)
{
return;
}
points.Clear();
gr.Clear(Color.White);
SolidBrush brush = new System.Drawing.SolidBrush(System.Drawing.Color.Black);
if (form.isForHierarchicalClustering)
{
GenerateForHierarchicalClustering(3, 0, 0, pictureBox.Width, pictureBox.Height, brush);
}
else
{
cluster_size = 10;
int radius = rand.Next(20, 60);
int x = rand.Next(radius, pictureBox.Width - radius);
int y = rand.Next(radius, pictureBox.Width - radius);
Point p1 = new Point(x, y);
CreateCluster(p1, radius, brush, form.isForFuzzyClustering);
radius = rand.Next(20, 60);
x = rand.Next(radius, pictureBox.Width - radius);
y = rand.Next(radius, pictureBox.Width - radius);
Point p2 = new Point(x, y);
CreateCluster(p2, radius, brush, form.isForFuzzyClustering);
radius = rand.Next(20, 60);
x = rand.Next(radius, pictureBox.Width - radius);
y = rand.Next(radius, pictureBox.Width - radius);
Point p3 = new Point(x, y);
CreateCluster(p3, radius, brush, form.isForFuzzyClustering);
if (form.isForFuzzyClustering)
{
x = (int)(((double)p1.coordinates[0] + (double)p2.coordinates[0]) / 2);
y = (int)(((double)p1.coordinates[1] + (double)p2.coordinates[1]) / 2);
Point p12 = new Point(x, y);
gr.FillEllipse(brush, new Rectangle(x - point_radius, y - point_radius,
2 * point_radius, 2 * point_radius));
points.Add(p12);
x = (int)(((double)p1.coordinates[0] + (double)p3.coordinates[0]) / 2);
y = (int)(((double)p1.coordinates[1] + (double)p3.coordinates[1]) / 2);
Point p13 = new Point(x, y);
gr.FillEllipse(brush, new Rectangle(x - point_radius, y - point_radius,
2 * point_radius, 2 * point_radius));
points.Add(p13);
x = (int)(((double)p2.coordinates[0] + (double)p3.coordinates[0]) / 2);
y = (int)(((double)p2.coordinates[1] + (double)p3.coordinates[1]) / 2);
Point p23 = new Point(x, y);
gr.FillEllipse(brush, new Rectangle(x - point_radius, y - point_radius,
2 * point_radius, 2 * point_radius));
points.Add(p23);
}
if (form.isWithNoise)
{
noise_count = 10;
CreateNoise(brush);
}
else
{
noise_count = 0;
}
}
pictureBox.Image = bitmap;
}