[Scipy-tickets] [SciPy] #1272: Some hierarchical clustering methods not working for proximity matrices
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Tue Sep 7 13:32:44 CDT 2010
#1272: Some hierarchical clustering methods not working for proximity matrices
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Reporter: cassio | Owner: somebody
Type: defect | Status: new
Priority: normal | Milestone: 0.9.0
Component: scipy.cluster | Version: 0.7.0
Keywords: |
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The following methods: ward, centroid, median, in the package
scipy.cluster.hierarchy are not working on a proximity matrix.
Suppose I have 5 objects and a condensed distance matrix of 10 pairwise
distances, when I try to run any of the above methods I get:
ValueError: Valid methods when the raw observations are omitted are
'single', 'complete', 'weighted', and 'average'.
I don't understand why I cannot use ward, centroid or median only
providing the proximity matrix, as those algorithms clearly allow for this
(relational methods).
In R I can use the hclust command and generate the hierarchies for ward,
centroid and median.
Sample code to generate the problem:
from pylab import *
from numpy import *
from scipy.cluster.hierarchy import *
y = random_sample(10)
Z = ward(y)
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Ticket URL: <http://projects.scipy.org/scipy/ticket/1272>
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