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Computing distances twice for random landmarking #78

@MattScicluna

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@MattScicluna

I think we can avoid this computation (happening during landmark creation):

distances = cdist(data, data[landmark_indices], metric="euclidean")

Since we compute the distances between every pair of points here:

distances, indices = knn_tree.kneighbors(Y, n_neighbors=search_knn)

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