/// <summary>
/// Generates cluster set using selected datapoints
/// </summary>
/// <param name="isChosen">Is datapoint is chosen</param>
/// <returns></returns>
public ClusterSet GetClusterSet(bool[] isChosen)
{
var clusterSet = new ClusterSet();
// generates datapoint
for (var i = 0; i < Rows.Count; i++)
{
var dataPoint = new DataPoint {
Id = i
};
// gets all points of datapoint
for (var j = StringHeadings.Length; j < FieldsCount; j++)
{
dataPoint.Add(double.Parse(Rows[i][j]));
}
// new cluster
var cluster = new Cluster {
Id = i
};
cluster.AddDataPoint(dataPoint);
cluster.SetCentroid();
// add to set
clusterSet.AddCluster(cluster);
}
return(clusterSet);
}
/// <summary>
/// Initializes a new instance of the <see cref="Agnes"/> class.
/// </summary>
/// <param name="clusters">The clusters.</param>
/// <param name="distanceMetric">The distance metric.</param>
/// <param name="strategy">The strategy.</param>
public Agnes(ClusterSet clusters, DistanceMetric distanceMetric, MergeStrategy strategy)
{
_clusters = clusters;
_initialNumberOfClusters = clusters.Count;
_distanceMetric = distanceMetric;
_strategy = strategy;
// creating initial dissimilarity matrix from _clusters
BuildDissimilarityMatrix();
_chValue = new List <double>();
_chIndex = new List <int>();
}
