/// <summary>
/// Create an optimizer which finds the curve that minimizes the number of clusters found using a ClusterCounter.
/// </summary>
/// <param name="outlierSize">OutlierSize to use with the ClusterCounter.</param>
/// <param name="noiseSkipBy">NoiseSkipBy to use with the ClusterCounter.</param>
/// <param name="reducedNoiseSkipBy">ReducedNoiseSkipBy to use with the ClusterCounter.</param>
/// <param name="strategy">Strategy to employ that decides how many dimensions to scramble during each iteration.</param>
public OptimalIndex(int outlierSize, int noiseSkipBy, int reducedNoiseSkipBy, Func <Permutation <uint>, int, int, Permutation <uint> > strategy)
{
var maxOutliers = outlierSize;
var skip = noiseSkipBy;
Metric = (HilbertIndex index) =>
{
var counter = new ClusterCounter {
OutlierSize = maxOutliers,
NoiseSkipBy = skip,
ReducedNoiseSkipBy = reducedNoiseSkipBy,
LowestCountSeen = LowestCountSeen
};
var counts = counter.Count(index.SortedPoints);
return(new Tuple <int, long>(counts.CountExcludingOutliers, counts.MaximumSquareDistance));
};
PermutationStrategy = strategy;
ShouldCompact = false;
}
/// <summary>
/// Create an optimizer which finds the curve that minimizes the number of clusters found using a ClusterCounter.
/// </summary>
/// <param name="outlierSize">OutlierSize to use with the ClusterCounter.</param>
/// <param name="noiseSkipBy">NoiseSkipBy to use with the ClusterCounter.</param>
/// <param name="reducedNoiseSkipBy">ReducedNoiseSkipBy to use with the ClusterCounter.</param>
/// <param name="strategy">Strategy to employ that decides how many dimensions to scramble during each iteration.</param>
/// <param name="bitsPerDimension">Bits per dimension which MUST BE STATED, not given as -1.</param>
public OptimalPermutation(int outlierSize, int noiseSkipBy, int reducedNoiseSkipBy, Func <Permutation <uint>, int, int, Permutation <uint> > strategy, int bitsPerDimension)
{
var maxOutliers = outlierSize;
var skip = noiseSkipBy;
Metric = (IReadOnlyList <UnsignedPoint> sortedPoints) =>
{
var counter = new ClusterCounter
{
OutlierSize = maxOutliers,
NoiseSkipBy = skip,
ReducedNoiseSkipBy = reducedNoiseSkipBy,
LowestCountSeen = LowestCountSeen
};
var counts = counter.Count(sortedPoints);
return(new Tuple <int, long>(counts.CountExcludingOutliers, counts.MaximumSquareDistance));
};
PermutationStrategy = strategy;
BitsPerDimension = bitsPerDimension;
}