internal double scale(double value, scaling.scale_function scale_function)
{
/*double non_zero, double abs_sum, double srsos, double column_min, double column_max, double average, double stdev,*/
var sp = this;
if (sp == null)
{
return(value);
}
switch (scale_function)
{
case scaling.scale_function.none: return(value);
case scaling.scale_function.rescale:
var x = (rescale_scale_max - rescale_scale_min) * (value - sp.column_min);
var y = (sp.column_max - sp.column_min);
var z = rescale_scale_min;
if (y == 0)
{
return(0);
}
var rescale = (x / y) + z;
return(rescale);
case scaling.scale_function.normalisation:
if (sp.column_max - sp.column_min == 0)
{
return(0);
}
var mean_norm = (value - sp.average) / (sp.column_max - sp.column_min);
return(mean_norm);
case scaling.scale_function.standardisation:
if (sp.stdev == 0)
{
return(0);
}
var standardisation = (value - sp.average) / sp.stdev;
return(standardisation);
case scaling.scale_function.L0_norm:
if (sp.non_zero == 0)
{
return(0);
}
return(value / sp.non_zero);
case scaling.scale_function.L1_norm:
if (sp.abs_sum == 0)
{
return(0);
}
return(value / sp.abs_sum);
case scaling.scale_function.L2_norm:
if (sp.srsos == 0)
{
return(0);
}
return(value / sp.srsos);
default: throw new ArgumentOutOfRangeException(nameof(scale_function)); //return 0;
}
}
internal double[] scale(double[] values, scaling.scale_function scale_function)
{
return(values.Select(a => scale(a, scale_function)).ToArray());
}
