Révision 695dcff8 modules/clustering.py

b/modules/clustering.py
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    if data.shape[0] == data.shape[1] \
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            and (np.tril(data).T == np.triu(data)).all():
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        logger.info("Clustering using affinity matrix")
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        logger.info("Clustering using affinity matrix.")
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        labels = get_labels_affty(data)
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        if max(labels) == -1:
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            logger.warning('Clustering of conformers did not converge. Try '
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                           "setting a smaller 'min_samples' parameter")
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                           "setting a smaller 'min_samples' parameter.")
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            exemplars = list(range(data.shape[0]))
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        else:
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            clusters = get_clusters(labels)

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