Fix AgglomerativeClustering error by replacing 'affinity' with 'metric' to fix CI Job issue.

Author: SalmanDeveloperz

examples/clustering/sklearn_clustering_with_aeon_distances.ipynb

@@ -92,17 +92,17 @@
     "\n",
     "# Perform Agglomerative Clustering\n",
     "agg_clustering = AgglomerativeClustering(\n",
-    "    n_clusters=2, affinity=\"precomputed\", linkage=\"average\"\n",
+    "    n_clusters=2, metric=\"precomputed\", linkage=\"average\"\n",
     ")\n",
     "labels = agg_clustering.fit_predict(distance_matrix)\n",
     "\n",
     "# Visualize the clustering results\n",
     "plt.figure(figsize=(10, 6))\n",
     "for label in np.unique(labels):\n",
-    "    plt.plot(X[labels == label].mean(axis=0), label=f\"Cluster {label}\")\n",
+    "    plt.plot(np.mean(X[labels == label], axis=0), label=f\"Cluster {label}\")  # Fix indexing\n",
     "plt.title(\"Hierarchical Clustering with DTW Distance\")\n",
     "plt.legend()\n",
-    "plt.show()"
+    "plt.show()\n"
    ]
   },
   {