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Hierarchical clustering is a general family of clustering algorithms that build nested clusters by merging or splitting them successively. This hierarchy of clusters is represented as a tree (or dendrogram). The root of the tree is the unique cluster that gathers all the samples, the leaves being the clusters with only one sample. See the Wikipedia page for more details.👇

https://scikit-learn.org/stable/modules/clustering.html#hierarchical-clustering

Maryam Rahbar
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Hierarchical clustering is a general family of clustering algorithms that build nested clusters by merging or splitting them successively. This hierarchy of clusters is represented as a tree (or dendrogram). The root of the tree is the unique cluster that gathers all the samples, the leaves being the clusters with only one sample. See the Wikipedia page for more details.👇

https://scikit-learn.org/stable/modules/clustering.html#hierarchical-clustering

Maryam Rahbar
🔳کانال تلگرام
🔹پیج اینستاگرام
🔖کانال یوتیوب

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