Initial

PdfMarker/Services/QuotaClusterer.cs

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+using PdfMarker.Models;
+
+namespace PdfMarker.Services;
+
+public class QuotaClusterer
+{
+    // distanza massima tra quote per essere considerate la stessa feature
+    private const double MaxDistance = 0.05; // 5% pagina
+
+    public List<FeatureCandidate> Cluster(List<QuotaCandidate> quotes)
+    {
+        var features = new List<FeatureCandidate>();
+        var used = new HashSet<QuotaCandidate>();
+
+        foreach (var q in quotes)
+        {
+            if (used.Contains(q))
+                continue;
+
+            var cluster = new List<QuotaCandidate> { q };
+            used.Add(q);
+
+            foreach (var other in quotes)
+            {
+                if (used.Contains(other))
+                    continue;
+
+                if (IsSameFeature(q, other))
+                {
+                    cluster.Add(other);
+                    used.Add(other);
+                }
+            }
+
+            features.Add(BuildFeature(cluster));
+        }
+
+        return features;
+    }
+    
+    private bool IsSameFeature(QuotaCandidate a, QuotaCandidate b)
+    {
+        // stesso tipo → molto importante
+        if (a.Type != b.Type)
+            return false;
+
+        // orientamento compatibile
+        if (a.IsHorizontal != b.IsHorizontal ||
+            a.IsVertical != b.IsVertical)
+            return false;
+
+        // distanza
+        var dx = a.X - b.X;
+        var dy = a.Y - b.Y;
+
+        var distance = Math.Sqrt(dx * dx + dy * dy);
+
+        return distance < MaxDistance;
+    }
+
+    private FeatureCandidate BuildFeature(List<QuotaCandidate> cluster)
+    {
+        var centerX = cluster.Average(q => q.X);
+        var centerY = cluster.Average(q => q.Y);
+
+        var confidence = cluster.Average(q => q.Confidence);
+
+        return new FeatureCandidate
+        {
+            Type = cluster.First().Type,
+            Quotes = cluster,
+            CenterX = centerX,
+            CenterY = centerY,
+            Confidence = confidence
+        };
+    }
+}