multidim_scaling.py 文件源码

def get_twodim_reps(reps, seed, distance=euclidean_distances):
    reps = reps.astype(np.float64)
    similarities = distance(reps)
    mds = MDS(n_components=2, dissimilarity="precomputed", random_state=seed)
    return mds.fit(similarities).embedding_