/// <summary>
/// Setups this instance.
/// </summary>
public void Setup()
{
// creates data tables
_dataTable = new DataTable();
// add columns to datatable
_dataTable.Columns.Add("Название кластера");
for (int i = 0; i < Tools.NumericDataHeadings.Length; i++)
{
_dataTable.Columns.Add(Tools.NumericDataHeadings[i]);
}
_dataTable.Columns.Add("Число обьектов");
_contents = new StatisticPoint[contentsHeadings.Length][];
// fill data table
for (int i = 0; i < Clusters.Count; i++)
{
var list = Clusters.GetCluster(i).Centroid.Points.Select(x => $"{x}").ToList();
list.Insert(0, $"Cluster{Clusters.GetCluster(i).Id}");
list.Add($"{Clusters.GetCluster(i).QuantityOfDataPoints}");
_dataTable.Rows.Add(list.ToArray());
}
// init contents
for (int j = 0; j < contentsHeadings.Length; j++)
{
_contents[j] = new StatisticPoint[Clusters.Count];
}
// gets contents
for (int i = 0; i < Clusters.Count; i++)
{
for (int j = 0; j < contentsHeadings.Length; j++)
{
_contents[j][i] = new StatisticPoint();
_contents[j][i].value = Clusters.GetCluster(i).Centroid[j];
_contents[j][i].GroupId = 0;
_contents[j][i].index = i;
}
}
// group contents
for (int j = 0; j < contentsHeadings.Length; j++)
{
_contents[j] = _contents[j].OrderBy((x) => x.value).ToArray();
var points = _contents[j].Select(x => x.value).ToArray();
var indentifiers = Tools.GroupBy(points);
for (int i = 0; i < _contents[j].Length; i++)
{
_contents[j][i].GroupId = indentifiers[i];
}
_contents[j] = _contents[j].OrderBy((x) => x.index).ToArray();
}
// fill data gridview
clustersOverviewGridView.ColumnHeadersVisible = true;
clustersOverviewGridView.AutoSizeColumnsMode = DataGridViewAutoSizeColumnsMode.AllCells;
clustersOverviewGridView.DataSource = _dataTable;
}
/// <summary>
/// Builds the dissimilarity matrix.
/// </summary>
private void BuildDissimilarityMatrix()
{
_dissimilarityMatrix = new DissimilarityMatrix();
for (int i = 0; i < _clusters.Count - 1; i++)
{
for (int j = i + 1; j < _clusters.Count; j++)
{
var clusterPair = new ClusterPair(_clusters.GetCluster(i), _clusters.GetCluster(j));
var distanceBetweenTwoClusters = ClusterDistance.ComputeDistance(clusterPair.Cluster1, clusterPair.Cluster2, _distanceMetric);
_dissimilarityMatrix.AddClusterPairAndDistance(clusterPair, distanceBetweenTwoClusters); // adds distance to matrix
}
}
}