# Introduction We learned about centroid-based clustering methods, especially the excellent clustering algorithms K-Means and K-Means++. This experiment will introduce a completely different clustering method, namely hierarchical clustering. Hierarchical clustering can help to avoid the trouble of specifying the number of categories in advance when dividing clusters. In addition, it can be applied in some specific scenarios.
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