public double calculate_posteriori(StateOfNature state_of_nature, int[] observed_features_x_vector)
{
double posteriori = 1;
double[] meu_vector = state_of_nature.get_meus_vector();
double[] sigma_vector = state_of_nature.get_sigmas_vector();
for (int i = 0; i < observed_features_x_vector.Length; i++)
{
double likelihood = composition_object_normal_distribution.my_normal_function(observed_features_x_vector[i], meu_vector[i], sigma_vector[i]);
double prior = state_of_nature.prior;
posteriori *= likelihood * prior; // disjoint probability of independent features (random variables)
}
return posteriori;
}
// single feature
public int classify(StateOfNature[] classes, double x)
{
if (classes == null)
return -1;
double meu, sigma;
composition_object_normal_distribution = new NormalDistribution();
double maximum_likelihood = double.NegativeInfinity;
int class_index = -1;
for (int i = 0; i < classes.Length; i++)
{
if (classes[i] == null)
continue;
meu = classes[i].get_averaged_meu();
sigma = classes[i].get_averaged_sigma();
double likelihood = composition_object_normal_distribution.my_normal_function(x , meu, sigma);
double prior = classes[i].prior;
if (likelihood * prior > maximum_likelihood)
{
class_index = i;
maximum_likelihood = likelihood * prior;
}
}
return class_index;
}
public bool is_classification_correct(StateOfNature[] states_of_natures, int i, int j)
{
return false;
}
public void propagata_class_regions_array(DataGridView data_meus_sigmas, int _width, int _height)
{
int num_rects = data_meus_sigmas.RowCount;
if (num_rects == 1 && data_meus_sigmas.Rows[0].Cells[0].Value == null)
return;
// correct num rects
int correct_num_rects = 0;
for (int i = 0; i < num_rects; i++)
{
if (data_meus_sigmas.Rows[i].Cells[0].Value == null)
continue;
correct_num_rects++;
}
num_rects = correct_num_rects;
// end correction
array_class_regions = new StateOfNature[num_rects];
int rect_width = _width / num_rects;
for (int i = 0; i < num_rects; i++)
{
if (data_meus_sigmas.Rows[i].Cells[0].Value == null)
continue;
array_class_regions[i] = new StateOfNature();
array_class_regions[i].width = rect_width;
array_class_regions[i].height = _height;
array_class_regions[i].x1 = i * rect_width;
array_class_regions[i].y1 = 0;
array_class_regions[i].x2 = i * rect_width + rect_width;
array_class_regions[i].y2 = _height;
array_class_regions[i].meu_red = Double.Parse(data_meus_sigmas.Rows[i].Cells[0].Value.ToString());
array_class_regions[i].meu_green = Double.Parse(data_meus_sigmas.Rows[i].Cells[2].Value.ToString());
array_class_regions[i].meu_blue = Double.Parse(data_meus_sigmas.Rows[i].Cells[4].Value.ToString());
array_class_regions[i].sigma_red = Double.Parse(data_meus_sigmas.Rows[i].Cells[1].Value.ToString());
array_class_regions[i].sigma_green = Double.Parse(data_meus_sigmas.Rows[i].Cells[3].Value.ToString());
array_class_regions[i].sigma_blue = Double.Parse(data_meus_sigmas.Rows[i].Cells[5].Value.ToString());
array_class_regions[i].prior = Double.Parse(data_meus_sigmas.Rows[i].Cells[6].Value.ToString());
array_class_regions[i].color = get_unique_random_color(num_rects, i);
}
}
public void handle_create_classes_from_samples_click(DataGridView dgrdview_samples, DataGridView dgrview_meu_sigma, DataGridView dgrdview_loss_function)
{
StateOfNature state_of_nature = new StateOfNature();
for (int i = 0; i < dgrdview_samples.Rows.Count; i++)
{
if (dgrdview_samples.Rows[i].Cells[0].Value == null || dgrdview_samples.Rows[i].Cells[1].Value == null || dgrdview_samples.Rows[i].Cells[2].Value == null)
continue;
int r = int.Parse(dgrdview_samples.Rows[i].Cells[0].Value.ToString());
int g = int.Parse(dgrdview_samples.Rows[i].Cells[1].Value.ToString());
int b = int.Parse(dgrdview_samples.Rows[i].Cells[2].Value.ToString());
Color c = Color.FromArgb(r, g, b);
state_of_nature.samples.Add(c);
}
state_of_nature.calculate_meus_and_sigmas_from_samples();
dgrview_meu_sigma.Rows.Add(state_of_nature.meu_red, state_of_nature.sigma_red, state_of_nature.meu_green, state_of_nature.sigma_green, state_of_nature.meu_blue, state_of_nature.sigma_blue);
state_of_nature.color = obj_unique_random_colors_array.get_unique_random_color();
class_regions_array.Add(state_of_nature);
// add a column for the new class wi in lambda matrix
DataGridViewColumn dgrdview_col = new DataGridViewColumn();
dgrdview_col.Width = column_width;
dgrdview_col.Name = "w_" + class_regions_array.Count;
dgrdview_col.HeaderText = "w" + class_regions_array.Count;
dgrdview_col.CellTemplate = dgrdview_samples.Rows[0].Cells[0];
dgrdview_loss_function.Columns.Add(dgrdview_col);
// clear samples table
dgrdview_samples.Rows.Clear();
}
public void propagate_states_of_nature(DataGridView data_meus_sigmas, int _width, int _height)
{
class_regions_array = new List<StateOfNature>();
int num_rects = data_meus_sigmas.RowCount;
if (num_rects == 1 && data_meus_sigmas.Rows[0].Cells[0].Value == null)
return;
// correct num rects
int correct_num_rects = 0;
for (int i = 0; i < num_rects; i++)
{
if (new DataGridView_Helpers().is_grid_row_empty(data_meus_sigmas.Rows[i]))
continue;
correct_num_rects++;
}
num_rects = correct_num_rects;
// end correction
int rect_width = _width / num_rects;
for (int i = 0; i < num_rects; i++)
{
StateOfNature state_of_nature = new StateOfNature();
state_of_nature.width = rect_width;
state_of_nature.height = _height;
state_of_nature.x1 = i * rect_width;
state_of_nature.y1 = 0;
state_of_nature.x2 = i * rect_width + rect_width;
state_of_nature.y2 = _height;
state_of_nature.meu_red = Double.Parse(data_meus_sigmas.Rows[i].Cells[0].Value.ToString());
state_of_nature.meu_green = Double.Parse(data_meus_sigmas.Rows[i].Cells[2].Value.ToString());
state_of_nature.meu_blue = Double.Parse(data_meus_sigmas.Rows[i].Cells[4].Value.ToString());
state_of_nature.sigma_red = Double.Parse(data_meus_sigmas.Rows[i].Cells[1].Value.ToString());
state_of_nature.sigma_green = Double.Parse(data_meus_sigmas.Rows[i].Cells[3].Value.ToString());
state_of_nature.sigma_blue = Double.Parse(data_meus_sigmas.Rows[i].Cells[5].Value.ToString());
state_of_nature.prior = Double.Parse(data_meus_sigmas.Rows[i].Cells[6].Value.ToString());
state_of_nature.color = obj_unique_random_colors_array.get_unique_random_color();
class_regions_array.Add(state_of_nature);
}
}