def dim_reduce(means, weights, d):
return dim_reduce_data(means, d)<EOL>
Dimensionality reduction using Poisson distances and MDS.

Args:
    means (array): genes x clusters
    weights (array): clusters x cells
    d (int): desired dimensionality

Returns:
    X, a clusters x d matrix representing the reduced dimensions
    of the cluster centers.