hi Andy,

is your graph fully connected? ie one connected compotent? if not
you should tell the estimator.

let me know if it works.

Alex

On Tue, Mar 12, 2013 at 3:16 PM, Andreas Mueller
<[email protected]> wrote:
> 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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Symantec Endpoint Protection 12 positioned as A LEADER in The Forrester  
Wave(TM): Endpoint Security, Q1 2013 and "remains a good choice" in the  
endpoint security space. For insight on selecting the right partner to 
tackle endpoint security challenges, access the full report. 
http://p.sf.net/sfu/symantec-dev2dev
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