HNSW

Add AutomaticGraphClusterer

TestHNSW/HNSWDemo/Program.cs

@@ -5,6 +5,7 @@ using System.Drawing;
 using System.IO;
 using System.Linq;
 using ZeroLevel.HNSW;
+using ZeroLevel.HNSW.Services;
 
 namespace HNSWDemo
 {
@@ -98,18 +99,42 @@ namespace HNSWDemo
 
 
         static void Main(string[] args)
+        {
+            AutoClusteringTest();
+            Console.WriteLine("Completed");
+            Console.ReadKey();
+        }
+
+        static void AutoClusteringTest()
         {
             var vectors = RandomVectors(128, 3000);
             var world = SmallWorld.CreateWorld<float[]>(NSWOptions<float[]>.Create(8, 16, 200, 200, Metrics.L2Euclidean, selectionHeuristic: NeighbourSelectionHeuristic.SelectSimple));
             world.AddItems(vectors);
-            DrawHistogram(world, @"D:\hist.jpg");
-            Console.WriteLine("Completed");
-            Console.ReadKey();
+            var clusters = AutomaticGraphClusterer.DetectClusters(world);
+            Console.WriteLine($"Found {clusters.Count} clusters");
+            for (int i = 0; i < clusters.Count; i++)
+            {
+                Console.WriteLine($"Cluster {i+1} countains {clusters[i].Count} items");
+            }
         }
 
-        static void DrawHistogram(SmallWorld<float[]> world, string filename)
+        static void HistogramTest()
         {
+            var vectors = RandomVectors(128, 3000);
+            var world = SmallWorld.CreateWorld<float[]>(NSWOptions<float[]>.Create(8, 16, 200, 200, Metrics.L2Euclidean, selectionHeuristic: NeighbourSelectionHeuristic.SelectSimple));
+            world.AddItems(vectors);
             var histogram = world.GetHistogram();
+
+            int threshold = histogram.OTSU();
+            var min = histogram.Bounds[threshold - 1];
+            var max = histogram.Bounds[threshold];
+            var R = (max + min) / 2;
+
+            DrawHistogram(histogram, @"D:\hist.jpg");
+        }
+
+        static void DrawHistogram(Histogram histogram, string filename)
+        {
            /* while (histogram.CountSignChanges() > 3)
             {
                 histogram.Smooth();

ZeroLevel.HNSW/Services/AutomaticGraphClusterer.cs

@@ -0,0 +1,64 @@
+using System.Collections.Generic;
+
+namespace ZeroLevel.HNSW.Services
+{
+    public static class AutomaticGraphClusterer
+    {
+        private const int HALF_LONG_BITS = 32;
+
+        public static List<HashSet<int>> DetectClusters<T>(SmallWorld<T> world)
+        {
+            var links = world.GetNSWLinks();
+            // 1. Find R - bound between intra-cluster distances and out-of-cluster distances
+            var histogram = new Histogram(HistogramMode.SQRT, links.Values);
+            int threshold = histogram.OTSU();
+            var min = histogram.Bounds[threshold - 1];
+            var max = histogram.Bounds[threshold];
+            var R = (max + min) / 2;
+
+            // 2. Get links with distances less than R
+            var resultLinks = new SortedList<long, float>();
+            foreach (var pair in links)
+            {
+                if (pair.Value < R)
+                {
+                    resultLinks.Add(pair.Key, pair.Value);
+                }
+            }
+
+            // 3. Extract clusters
+            List<HashSet<int>> clusters = new List<HashSet<int>>();
+            foreach (var pair in resultLinks)
+            {
+                var k = pair.Key;
+                var id1 = (int)(k >> HALF_LONG_BITS);
+                var id2 = (int)(k - (((long)id1) << HALF_LONG_BITS));
+
+                bool found = false;
+                foreach (var c in clusters)
+                {
+                    if (c.Contains(id1))
+                    {
+                        c.Add(id2);
+                        found = true;
+                        break;
+                    }
+                    else if (c.Contains(id2))
+                    {
+                        c.Add(id1);
+                        found = true;
+                        break;
+                    }
+                }
+                if (found == false)
+                {
+                    var c = new HashSet<int>();
+                    c.Add(id1);
+                    c.Add(id2);
+                    clusters.Add(c);
+                }
+            }
+            return clusters;
+        }
+    }
+}

ZeroLevel.HNSW/Services/CompactBiDirectionalLinksSet.cs

@@ -15,6 +15,8 @@ namespace ZeroLevel.HNSW
 
         private SortedList<long, float> _set = new SortedList<long, float>();
 
+        internal SortedList<long, float> Links => _set;
+
         internal (int, int) this[int index]
         {
             get

ZeroLevel.HNSW/Services/Layer.cs

@@ -14,6 +14,7 @@ namespace ZeroLevel.HNSW
         private readonly NSWOptions<TItem> _options;
         private readonly VectorSet<TItem> _vectors;
         private readonly CompactBiDirectionalLinksSet _links;
+        internal SortedList<long, float> Links => _links.Links;
 
         /// <summary>
         /// There are links е the layer

ZeroLevel.HNSW/SmallWorld.cs

@@ -17,6 +17,7 @@ namespace ZeroLevel.HNSW
         private int MaxLayer = 0;
         private readonly ProbabilityLayerNumberGenerator _layerLevelGenerator;
         private ReaderWriterLockSlim _lockGraph = new ReaderWriterLockSlim();
+        internal SortedList<long, float> GetNSWLinks() => _layers[0].Links;
 
         public SmallWorld(NSWOptions<TItem> options)
         {