Hi all,
I am trying to run some basic clustering code.
vectorizer =
CountVectorizer(preprocessor=preprocessor,token_pattern=u'/\w+/')
# url_list is a list of strings
X = vectorizer.fit_transform(url_list)
print "feature extraction done in %f s"%(time() - t0)
t0 = time()
km = KMeans(init='random', max_iter=100,verbose=1,n_init=1)
km.fit(X)
print "clustering done in %f s"%(time() - t0)
It runs some times, but mostly it ends in the following:
feature extraction done in 0.003542 s
Initialization complete
Traceback (most recent call last):
File "cluster.py", line 42, in <module>
km.fit(X)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py", line
735, in fit
n_jobs=self.n_jobs)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py", line
265, in k_means
x_squared_norms=x_squared_norms, random_state=random_state)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py", line
380, in _kmeans_single
centers = _centers(X, labels, k, distances)
File
"/usr/local/lib/python2.7/dist-packages/sklearn/cluster/k_means_.py", line
507, in _centers
centers[center_id] = X[far_from_centers[reallocated_idx]]
ValueError: setting an array element with a sequence.
What could be wrong here?
Thanks,
Phani Vadrevu
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