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Hierarchical clustering has the distinct advantage that any valid measure of distance can be used. In fact, the observations themselves are not required: all that is used is a matrix of distances.
Hierarchical clustering has the distinct advantage that any valid measure of distance can be used. In fact, the observations themselves are not required: all that is used is a matrix of distances.
'''<font color="#ff8000"> 层次聚类Hierarchical clustering</font>'''具有明显的优势，可以使用任何有效的距离度量。事实上，观测本身并不是必需的: 所用的只是一个距离矩阵。
'''<font color="#ff8000"> 层次聚类Hierarchical clustering</font>'''具有明显的优势，它可以使用任何有效的距离度量。事实上，观测本身也并不是必需的，层次聚类所需要用的只是一个距离矩阵。
== Agglomerative clustering example 凝聚聚类实例==
== Agglomerative clustering example 凝聚聚类实例==