public IFunctionBijective <float [], float []> Generate(
IList <float []> instances)
{
float[,] array = ToolsCollection.ConvertToTable(instances);
float[,] array_transposed = ToolsCollection.Transpose(array);
float [] lower_bounds = new float [array_transposed.Length];
float [] upper_bounds = new float [array_transposed.Length];
for (int index = 0; index < array_transposed.Length; index++)
{
lower_bounds[index] = ToolsMathStatistics.QuantileSorted(array_transposed.Select1DIndex0(index), quantile);
upper_bounds[index] = ToolsMathStatistics.QuantileSorted(array_transposed.Select1DIndex0(index), 1 - quantile);
}
return(new TransformRescale(lower_bounds, upper_bounds));
}
public void get_model(IList <int []> instances)
{
// Convert
List <float []> instances_converted = new List <float []>();
foreach (int [] instance in instances)
{
instances_converted.Add(ToolsCollection.ConvertToFloatArray(instance));
}
// Transform
TransformWhiteningOld <Matrix <double> > transform = new TransformWhiteningOld <Matrix <double> >(new AlgebraLinearReal64MathNet(), ToolsCollection.ConvertToTable(instances_converted));
IList <float[]> instances_transformed = new List <float[]>();
foreach (float [] instance in instances_converted)
{
instances_transformed.Add(transform.Compute(instance));
}
// Cluster
//IClusteringModel<float []> model = d_inner.get_model(instances_transformed); //TODO
//return new KMeansDefaultWhiteningIntegerArrayModel(transform, model);
//return null; // TODO
}
