8000 DOC Fix interpretation in plot_agglomerative_clustering.py (#21167) · scikit-learn/scikit-learn@a98836a · GitHub
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DOC Fix interpretation in plot_agglomerative_clustering.py (#21167)
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‎examples/cluster/plot_agglomerative_clustering.py

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local structure in the data. The graph is simply the graph of 20 nearest
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neighbors.
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Two consequences of imposing a connectivity can be seen. First clustering
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with a connectivity matrix is much faster.
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Two consequences of imposing a connectivity can be seen. First, clustering
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without a connectivity matrix is much faster.
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Second, when using a connectivity matrix, single, average and complete
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linkage are unstable and tend to create a few clusters that grow very

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