smooth.knn.dist: compute a "smooth" distance to the kth neighbor and...
In donelsonsmith/umap_R: Uniform Manifold Approximation and Projection

compute a "smooth" distance to the kth neighbor and approximate first neighbor

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smooth.knn.dist(k.dist, neighbors, iterations = 64,
  local.connectivity = 1, bandwidth = 1, tolerance = 1e-05,
  min.dist.scale = 0.001)

`k.dist`	matrix with distances to k neighbors
`neighbors`	numeric, number of neighbors to approximate for
`iterations`	integers, number of iterations
`local.connectivity`	iteger
`bandwidth`	numeric
`tolerance`	numeric, for numeric precision
`min.dist.scale`	numeric, minimum distance to nearest neighbor (for display)