Plot CreateSilhouetteMeanPlot(List <ModelAnalyzer> analyzers)
{
Plot silhouetteMeanPlot = new Plot();
int pointsCount = analyzers.Count;
double[] xValues = new double[pointsCount];
double[] yValues = new double[pointsCount];
int currentClustersCount = analyzers[0].ClustersCount;
for (int i = 0; i < pointsCount; i++)
{
ModelAnalyzer analyzer = analyzers[i];
xValues[i] = i;
yValues[i] = analyzer.SilhouetteCoefMean;
if (currentClustersCount != analyzer.ClustersCount)
{
double value = (i + (i - 1)) / 2.0;
string label = $"clusters count {currentClustersCount}";
silhouetteMeanPlot.PlotVLine(value, VerticalDividerColor, label: label);
}
currentClustersCount = analyzer.ClustersCount;
}
silhouetteMeanPlot.PlotScatter(xValues, yValues, IntraClusterDistanceColor);
return(silhouetteMeanPlot);
}
Plot CreateIntraClusterPlot(ModelAnalyzer analyzer)
{
Plot intraClusterPlot = new Plot();
int pointsCount = analyzer.AnalyzedSongs.Count;
double[] xValues = new double[pointsCount];
double[] yValues = new double[pointsCount];
int currentClusterIndex = analyzer.AnalyzedSongs[0].ClusterIndex;
for (int i = 0; i < pointsCount; i++)
{
AnalyzedSong point = analyzer.AnalyzedSongs[i];
xValues[i] = i;
yValues[i] = point.CentroidDistance;
if (currentClusterIndex != point.ClusterIndex)
{
double value = (i + (i - 1)) / 2.0;
string label = $"cluster {currentClusterIndex}";
intraClusterPlot.PlotVLine(value, VerticalDividerColor, label: label);
}
currentClusterIndex = point.ClusterIndex;
}
intraClusterPlot.PlotScatter(xValues, yValues, IntraClusterDistanceColor);
intraClusterPlot.PlotHLine(analyzer.IntraClusterMeanDistance, IntraClustersMeanDistanceColor);
return(intraClusterPlot);
}
Plot CreateIntraClusterCommonPlot(List <ModelAnalyzer> analyzers)
{
if (analyzers.Count < 1)
{
throw new ArgumentException();
}
Plot intraClusterCommonPlot = new Plot();
int pointsCount = analyzers.Count;
double[] xValues = new double[pointsCount];
double[] yValues = new double[pointsCount];
int currentClustersCount = analyzers[0].ClustersCount;
for (int i = 0; i < pointsCount; i++)
{
ModelAnalyzer analyzer = analyzers[i];
xValues[i] = i;
yValues[i] = analyzer.IntraClusterMeanDistance;
if (currentClustersCount != analyzer.ClustersCount)
{
double value = (i + (i - 1)) / 2.0;
string label = $"clusters count {currentClustersCount}";
intraClusterCommonPlot.PlotVLine(value, VerticalDividerColor, label: label);
}
currentClustersCount = analyzer.ClustersCount;
}
intraClusterCommonPlot.PlotScatter(xValues, yValues, IntraClusterDistanceColor);
return(intraClusterCommonPlot);
}
