[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:import time\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.cluster import AgglomerativeClustering\nn_samples = 500\nnp.random.seed(0)\nt = 1.5 * np.pi * (1 + 3 * np.random.rand(1, n_samples))\nx = t * np.cos(t)\ny = t * np.sin(t)\nX = np.concatenate((x, y))\nX += .7 * np.random.randn(2, n_samples)\nX = X.T\nplt.scatter(X[:, 0], X[:, 1], c='blue', cmap=plt.cm.spectral)\nplt.axis('equal')\nplt.axis('off')\nplt.show()"}, {'role': 'assistant', 'content': 'load_data'}]