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zhai_proamueller
zhai_pro
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amueller
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FIX KMeans with fortran-aligned data.
bad case: X = np.asfortranarray([[0, 0], [0, 1], [0, 1]]) labels = np.array([0, 1, 1]) km = KMeans(n_init=1, init=centers, precompute_distances=False) km.fit(X) print km.cluster_centers_ print km.labels_ print km.n_iter_
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