예제 #1
0
        private static Cluster BuildCluster(ListSpatialIndex index, PointInfo point,
                                            IReadOnlyList <PointInfo> neighborhood,
                                            double epsilon, int minimumPointsPerCluster)
        {
            List <PointContainer> points = new List <PointContainer> {
                point.Item
            };
            Cluster cluster = new Cluster {
                Points = points
            };

            point.Cluster = cluster;

            Queue <PointInfo> queue = new Queue <PointInfo>(neighborhood);

            while (queue.Any())
            {
                PointInfo newPoint = queue.Dequeue();
                if (!newPoint.Visited)
                {
                    newPoint.Visited = true;
                    IReadOnlyList <PointInfo> newNeighbors = index.Search(newPoint.Point, epsilon);
                    if (newNeighbors.Count >= minimumPointsPerCluster)
                    {
                        foreach (PointInfo p in newNeighbors)
                        {
                            queue.Enqueue(p);
                        }
                    }
                }

                if (newPoint.Cluster == null)
                {
                    newPoint.Cluster = cluster;
                    points.Add(newPoint.Item);
                }
            }

            return(cluster);
        }
예제 #2
0
        public static ClusterSet CalculateClusters(
            ListSpatialIndex index,
            double epsilon,
            int minimumPointsPerCluster)
        {
            List <PointInfo> points = index.Search().ToList();

            List <Cluster> clusters = new List <Cluster>();

            foreach (PointInfo p in points)
            {
                if (p.Visited)
                {
                    continue;
                }

                p.Visited = true;
                IReadOnlyList <PointInfo> candidates = index.Search(p.Point, epsilon);

                if (candidates.Count >= minimumPointsPerCluster)
                {
                    clusters.Add(
                        BuildCluster(
                            index,
                            p,
                            candidates,
                            epsilon,
                            minimumPointsPerCluster));
                }
            }

            return(new ClusterSet
            {
                Clusters = clusters,
                UnclusteredObjects = points
                                     .Where(p => p.Cluster == null)
                                     .Select(p => p.Item)
                                     .ToList()
            });
        }