/// <summary>
/// Стандартный конструктор класса K_Means
/// CountOfClusters = 2
/// CoefficientTaboo = 0
/// Euclidian Distance
/// </summary>
public K_Means()
{
//Количество кластеров по умолчанию
CountOfClusters = 2;
CoefficientTaboo = 0;
_metricDistance = new EuclidianDistance();
}
/// <summary>
/// Converts metric to metric
/// </summary>
/// <param name="source">Source dimension</param>
/// <param name="target">Target dimension</param>
/// <param name="power"></param>
/// <returns>A functor that converts metric to metric</returns>
protected Func <double, double> ConvertMetricDistance(IMetricDistance source, IMetricDistance target, int power)
{
var from = ((AbstractDistance)source).ConvertToBase;
var to = ((AbstractDistance)target).ConvertFromBase;
return(x => Powerade(from, x, power, to));
}
/// <summary>
/// Converts metric to metric
/// </summary>
/// <param name="source">Source dimension</param>
/// <param name="target">Target dimension</param>
/// <param name="power"></param>
/// <returns>A functor that converts metric to metric</returns>
protected Func<double, double> ConvertMetricDistance(IMetricDistance source, IMetricDistance target, int power)
{
var from = ((AbstractDistance)source).ConvertToBase;
var to = ((AbstractDistance)target).ConvertFromBase;
return x => Powerade(from, x, power, to);
}
/// <summary>
/// Converts the metric distance to an imperial distance
/// </summary>
/// <param name="quantity">Quantity to convert</param>
/// <param name="source">Source dimension</param>
/// <param name="target">Target dimension</param>
/// <returns>A new unit of measure with the quantity expressed in the target distance</returns>
public IUnit <IDistance> VisitMetricDistance(double quantity, IMetricDistance source, IImperialDistance target)
{
var meters = source.ToMeters(quantity);
var feet = meters * 3.2808398950131235;
return(new DistanceUnit(target.FromFeet(feet), target));
}
/// <summary>
///
/// </summary>
/// <param name="source"></param>
/// <param name="target"></param>
/// <param name="power"></param>
/// <returns></returns>
protected Func<double, double> ConvertImperialDistance(IImperialDistance source, IMetricDistance target, int power)
{
var from = ((AbstractDistance)source).ConvertToBase;
var to = ((AbstractDistance)target).ConvertFromBase;
Func<double, double> from2 = x => from(x) * 0.3048;
return x => Powerade(from2, x, power, to);
}
/// <summary>
///
/// </summary>
/// <param name="source"></param>
/// <param name="target"></param>
/// <param name="power"></param>
/// <returns></returns>
protected Func <double, double> ConvertMetricDistance(IMetricDistance source, IImperialDistance target, int power)
{
var from = ((AbstractDistance)source).ConvertToBase;
var to = ((AbstractDistance)target).ConvertFromBase;
Func <double, double> from2 = x => from(x) * 3.2808398950131235;
return(x => Powerade(from2, x, power, to));
}
/// <summary>
/// Redefining the cluster centroid according to the center of gravity
/// </summary>
/// <param name="metricDistance">Method of calculating distance</param>
public void SetCentroidLikeGravityCenter(IMetricDistance metricDistance)
{
if (Data.Count != 0)
{
if (metricDistance.GetValueOfDistance(GetGravityCenter(), ClustersCendroid) > 0.01)
{
ClustersCendroid = new Centroid(GetGravityCenter().X, GetGravityCenter().Y);
ChangeCentroid?.Invoke(this, null);
}
}
else
{
ClustersCendroid = ClustersCendroid;
}
}
/// <summary>
/// The calculation of the intracluster distances
/// </summary>
/// <param name="metricDistance">Method of calculating intracluster distance</param>
/// <returns>Value of intracluster distance </returns>
public double IntraClusterDistance(IMetricDistance metricDistance)
{
double intraClusterDistance = 0.0;
//Avoiding division by zero
if (Data.Count == 0)
{
intraClusterDistance = 0;
}
else
{
intraClusterDistance = Data.Average(a => metricDistance.GetValueOfDistance(ClustersCendroid, a));
}
return(Math.Round(intraClusterDistance, 3));
}
/// <summary>
/// Расширенный конструктор класса K_Means
/// </summary>
/// <param name="countOfClusters">Количество кластеров</param>
/// <param name="coefficientTaboo"></param>
/// <param name="metricDistance"></param>
public K_Means(int countOfClusters, double coefficientTaboo, IMetricDistance metricDistance)
{
CountOfClusters = countOfClusters;
CoefficientTaboo = coefficientTaboo;
_metricDistance = metricDistance;
}
/// <summary>
/// Converts an imperial distance to a metric distance
/// </summary>
/// <param name="quantity"> Quantity to convert </param>
/// <param name="source"> Source distance </param>
/// <param name="target"> Target distance </param>
/// <returns> A new unit of measure with the quantity converted to the target distance </returns>
public IUnit <IDistance> VisitImperialDistance(double quantity, IImperialDistance source, IMetricDistance target)
{
var feet = source.ToFeet(quantity);
var meters = feet * 0.3048;
return(new DistanceUnit(target.FromMeters(meters), target));
}
/// <summary>
/// Converts to the metric distance given a metric distance
/// </summary>
/// <param name="quantity">
/// Quantity to convert
/// </param>
/// <param name="source">
/// Source distance
/// </param>
/// <param name="dimension">
/// Target distance
/// </param>
/// <returns>
/// A new unit of measure with the quantity converted to the target distance
/// </returns>
public IUnit <IDistance> VisitMetricDistance(double quantity, IMetricDistance source, IMetricDistance dimension)
{
var meters = source.ToMeters(quantity);
return(new DistanceUnit(dimension.FromMeters(meters), dimension));
}
