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Description
Calling fit() or fit_predict() with a csr matrix as input crashes the code (when affinity != 'precomputed').
I've investigated the error a bit and found that X = np.asarray(X) in the fit method of affinity_propagation_.py is causing the error and should be replaced by sth like X = check_array(X, accept_sparse='csr') as is done for DBSCAN.
Note:
Just re-checked, the problem does not happen with the latest stable release (scikit-learn==0.15.2) as the problematic line X = np.asarray(X) is not in the fit() method.
Minimal example to reproduce the error:
from sklearn.cluster import AffinityPropagation
from sklearn.datasets import fetch_20newsgroups_vectorized
b = fetch_20newsgroups_vectorized()
affinity = AffinityPropagation()
affinity.fit(b.data)
Setup:
scikit-learn==0.16.dev0
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