_components : int or ndarray of int
    The minimal number of components to guarantee with good probability
    an eps-embedding with n_samples.

References
----------

.. [1] https://en.wikipedia.org/wiki/Johnson%E2%80%93Lindenstrauss_lemma

.. [2] `Sanjoy Dasgupta and Anupam Gupta, 1999,
       "An elementary proof of the Johnson-Lindenstrauss Lemma."
       <https://citeseerx.ist.psu.edu/doc_view/pid/95cd464d27c25c9c8690b378b894d337cdf021f9>`_

Examples
--------
>>> from sklearn.random_projection import johnson_lindenstrauss_min_dim
>>> johnson_lindenstrauss_min_dim(1e6, eps=0.5)
np.int64(663)

>>> johnson_lindenstrauss_min_dim(1e6, eps=[0.5, 0.1, 0.01])
array([    663,   11841, 1112658])

>>> johnson_lindenstrauss_min_dim([1e4, 1e5, 1e6], eps=0.1)
array([ 7894,  9868, 11841])
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