LibiadaCore.Core.Characteristics.Calculators.RemotenessSkewness.Calculate C# (CSharp) Méthode

        public double Calculate(Chain chain, Link link)
        {
            List<int> intervals = new List<int>();
            for (int i = 0; i < chain.Alphabet.Cardinality; i++)
            {
                intervals.AddRange(chain.CongenericChain(i).GetIntervals(link).ToList());
            }

            List<int> uniqueIntervals = intervals.Distinct().ToList();

            List<int> intervalsCounts = new List<int>();

            for (int i = 0; i < uniqueIntervals.Count; i++)
            {
                var currentInterval = uniqueIntervals[i];
                intervalsCounts.Add(intervals.Count(interval => interval == currentInterval));
            }

            double result = 0;
            double gDelta = geometricMean.Calculate(chain, link);
            int n = (int)intervalsCount.Calculate(chain, link);

            for (int i = 0; i < uniqueIntervals.Count; i++)
            {
                int nk = intervalsCounts[i];
                double kDelta = uniqueIntervals[i];
                double centeredRemoteness = Math.Log(kDelta, 2) - Math.Log(gDelta, 2);
                result += nk == 0 ? 0 : centeredRemoteness * centeredRemoteness * centeredRemoteness * nk / n;
            }

            return result;
        }