Exemple #1
0
        /// <summary>
        /// Draws a BSpline curve from parent branch to new branch
        /// </summary>
        /// <param name="canvas"></param>
        /// <param name="allBranches"></param>
        public void DrawOriginCurve(Canvas canvas, List <BioBranch> allBranches)
        {
            OriginCurve = new Path();

            System.Windows.Point outNode = allBranches[ParentBranchIndex].Twigs[ParentTwigIndex].HistoryNodeOUT;
            System.Windows.Point inNode  = this.Twigs[0].HistoryNodeIN;

            int offset = (int)((inNode.X - outNode.X) / 2);

            // Add a random factor to separate lines.
            int randomY = Friends.GetRandomInt(0, 32);

            System.Windows.Point P1 = new System.Windows.Point(outNode.X, outNode.Y + randomY);
            System.Windows.Point P2 = new System.Windows.Point(outNode.X + offset, outNode.Y + randomY);
            System.Windows.Point P3 = new System.Windows.Point(inNode.X - offset, inNode.Y + randomY);
            System.Windows.Point P4 = new System.Windows.Point(inNode.X, inNode.Y + randomY);

            OriginCurve.Data            = Friends.MakeBezierGeometry(P1, P2, P3, P4);
            OriginCurve.Stroke          = Brushes.LightGray;
            OriginCurve.StrokeThickness = 0.6;
            //Canvas.SetLeft(OriginCurve, 0);
            //Canvas.SetTop(OriginCurve, 0);
            Canvas.SetZIndex(OriginCurve, -1);
            canvas.Children.Add(OriginCurve);
        }
Exemple #2
0
        /// <summary>
        /// Single point crossover
        /// </summary>
        /// <param name="probability"></param>
        public void CrossoverPop(double probability)
        {
            if (probability > 0)
            {
                int size = chromosomes[0].GetGenes().Length;

                for (int i = 0; i < chromosomes.Length; i += 2)
                {
                    if (Friends.GetRandomDouble() < probability)
                    {
                        int splice = Friends.GetRandomInt(0, size);

                        double[] limbo1 = new double[size];
                        double[] limbo2 = new double[size];

                        chromosomes[i].GetGenes().CopyTo(limbo1, 0);
                        chromosomes[i + 1].GetGenes().CopyTo(limbo2, 0);

                        for (int s = splice; s < size; s++)
                        {
                            limbo1[s] = chromosomes[i + 1].GetGenes()[s];
                            limbo2[s] = chromosomes[i].GetGenes()[s];
                        }

                        chromosomes[i].SetGenes(limbo1);
                        chromosomes[i + 1].SetGenes(limbo2);
                    }
                }
            }
        }
Exemple #3
0
        /// <summary>
        /// Calculate cluster centroids using k-means++
        /// </summary>
        /// <param name="numClusters"></param>
        /// <returns></returns>
        public double[][] calcClusterCentroidsInit(int numClusters)
        {
            int numGenes = chromosomes[0].GetGenes().Length;

            //Initialise array
            double[][] centroidVectorsInit   = new double[numClusters][];
            List <int> centroidChromoIndexes = new List <int>();

            // 1. Choose random initial centroid
            int rndCentroidChromo = Friends.GetRandomInt(0, chromosomes.Length);

            centroidChromoIndexes.Add(rndCentroidChromo);


            while (centroidChromoIndexes.Count < numClusters)
            {
                // 2. Calculate distance from each chromo to the nearest centroid that has already been chosen

                //the distance to the nearest centroid for each chromosome
                List <double> chromoDistances = new List <double>();

                for (int i = 0; i < chromosomes.Length; i++)
                {
                    //distances from one chromo to all of the already chosen centroids
                    List <double> distances = new List <double>();

                    for (int j = 0; j < centroidChromoIndexes.Count; j++)
                    {
                        int centroidIndex = centroidChromoIndexes[j];
                        distances.Add(Friends.calcDistance(chromosomes[i].GetGenes(), chromosomes[centroidIndex].GetGenes()));
                    }

                    chromoDistances.Add(distances.Min());  //if the chromosome compares to itself and is chosen as a centroid, the distance will be zero (fine as we choose the largest distance for all chromosomes afterwards)
                }

                //3. Choose next centroid furthest away from the already selected ones
                int indexOfMaxDist = chromoDistances.IndexOf(chromoDistances.Max());
                centroidChromoIndexes.Add(indexOfMaxDist);
            }

            //Update array
            for (int i = 0; i < numClusters; i++)
            {
                centroidVectorsInit[i] = new double[numGenes];

                for (int j = 0; j < numGenes; j++)
                {
                    centroidVectorsInit[i][j] = chromosomes[centroidChromoIndexes[i]].GetGenes()[j];
                }
            }

            return(centroidVectorsInit);
        }
Exemple #4
0
        /// <summary>
        /// Draws a BSpline curve from parent branch to new branch
        /// </summary>
        /// <param name="canvas"></param>
        /// <param name="allBranches"></param>
        public void DrawOriginCurve(Canvas canvas, List <BioBranch> allBranches)
        {
            OriginCurve = new Path();

            System.Windows.Point outNode = allBranches[ParentBranchIndex].Twigs[ParentTwigIndex].HistoryNodeOUT;
            System.Windows.Point inNode  = this.Twigs[0].HistoryNodeIN;

            int offset = (int)((inNode.X - outNode.X) / 2);

            // Add a random factor to separate lines.
            int randomY = Friends.GetRandomInt(0, 32);

            System.Windows.Point P1 = new System.Windows.Point(outNode.X, outNode.Y + randomY);
            System.Windows.Point P2 = new System.Windows.Point(outNode.X + offset, outNode.Y + randomY);
            System.Windows.Point P3 = new System.Windows.Point(inNode.X - offset, inNode.Y + randomY);
            System.Windows.Point P4 = new System.Windows.Point(inNode.X, inNode.Y + randomY);

            OriginCurve.Data            = Friends.MakeBezierGeometry(P1, P2, P3, P4);
            OriginCurve.Stroke          = Brushes.White;
            OriginCurve.StrokeThickness = 0.6;
            //Canvas.SetLeft(OriginCurve, 0);
            //Canvas.SetTop(OriginCurve, 0);
            Canvas.SetZIndex(OriginCurve, -1);
            canvas.Children.Add(OriginCurve);


            //Add outline circle
            double s = 6;

            System.Windows.Shapes.Ellipse nodule = new System.Windows.Shapes.Ellipse();
            nodule.Height = s;
            nodule.Width  = s;
            nodule.Fill   = Brushes.White;
            System.Windows.Shapes.Ellipse nodule2 = new System.Windows.Shapes.Ellipse();
            nodule2.Height = s;
            nodule2.Width  = s;
            nodule2.Fill   = Brushes.White;

            Canvas.SetLeft(nodule, P1.X - s / 2);
            Canvas.SetTop(nodule, P1.Y - s / 2);
            canvas.Children.Add(nodule);

            Canvas.SetLeft(nodule2, P4.X - s / 2);
            Canvas.SetTop(nodule2, P4.Y - s / 2);
            canvas.Children.Add(nodule2);
        }