Hey everybody.
I have been trying to use Ward with a fixed connectivity matrix today
and ran into some problems:
File "/home/VI/staff/amueller/checkout/scikit-learn/sklearn/base.py",
line 330, in fit_predict
self.fit(X)
File
"/home/VI/staff/amueller/checkout/scikit-learn/sklearn/cluster/hierarchical.py",
line 380, in fit
copy=self.copy, n_clusters=n_clusters)
File
"/home/VI/staff/amueller/checkout/scikit-learn/sklearn/cluster/hierarchical.py",
line 165, in ward_tree
inert, i, j = heappop(inertia)
IndexError: index out of range
I checked and the number of nodes is the same as the number of samples
during fit.
Is there some assumption about the graph that I could be missing?
I see this error only for "low" number of clusters. If I increase
n_clusters,
it goes away.
Any help would be much appreciated.
Cheers,
Andy
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