diff --git a/Task/K-d-tree/Matlab/example.m b/Task/K-d-tree/Matlab/example.m
new file mode 100644
index 0000000000..1f2953186c
--- /dev/null
+++ b/Task/K-d-tree/Matlab/example.m
@@ -0,0 +1,17 @@
+numPoints = 5000;
+cubeSize = 10;
+numDimensions = 10;
+
+points = hypercubePoints(numPoints, cubeSize, numDimensions);
+
+hypercubeKDTree = buildKDTree(points);
+
+queryPoint = rand(1, numDimensions);  % for the k-nearest neighbour search
+
+[nearestPoint, nearestDist, nodesVisited] = nearestNeighbourSearch(hypercubeKDTree, queryPoint);
+
+fprintf('Points in KD-Tree:\n');
+fprintf('Query point: (%.2f, %.2f, %.2f)\n', queryPoint);
+fprintf('Nearest point: (%.2f, %.2f, %.2f)\n', nearestPoint);
+fprintf('Distance: %.4f\n', nearestDist);
+fprintf('Nodes visited: %d\n', nodesVisited);