agglomerative clustering python

How can a graph be analysed using cluster_hierarchy_ parameter?
There are also other possibilities for analysis on the graph itself, such as generating hierarchical representations of the data through reachability-plot dendrograms, and the hierarchy of clusters detected by the algorithm can be accessed through the cluster_hierarchy_ parameter.
What are the prerequisites for aggregative clustering?
Prerequisites: Agglomerative Clustering Agglomerative Clustering is one of the most common hierarchical clustering techniques. Dataset – Credit Card Dataset. Assumption: The clustering technique assumes that each data point is similar enough to the other data points that the data at the starting can be assumed to be clustered in 1 cluster.
How does agglomerative clustering work?
The AgglomerativeClustering object performs a hierarchical clustering using a bottom up approach: each observation starts in its own cluster, and clusters are successively merged together. The linkage criteria determines the metric used for the merge strategy: Ward minimizes the sum of squared differences within all clusters.

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