When using DBSCAN as in the examples:
db = DBSCAN(eps=0.3, min_samples=10).fit(X)
I'm not sure if I understand what X is.
Is X[i][j] supposed to be some sort of measure from node i to node j?
If so, does X need to be normalized, or will DBSCAN scale the values
accordingly?
Thank you,
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