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I have data and tried to do clustering on it. every time I run the code with the below statements it changes the angle of the shape but still the same below shape

mds = manifold.MDS(max_iter=200, eps=1e-4, n_init=1,dissimilarity='precomputed')
dp_mds = mds.fit_transform(dist)

Does that normal?

enter image description here

and Does this shape has more cluster? enter image description here

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The change in angles is due to the random nature of sklearn.manifold.MDS. Change your code to

mds = manifold.MDS(max_iter=200,
                   eps=1e-4,
                   n_init=1,
                   dissimilarity='precomputed',
                   random_state=0)

dp_mds = mds.fit_transform(dist)

Setting the random_state to any integer solves the problem.

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  • $\begingroup$ thanks a lot for replying , i will try it now .. but does the second image has two cluster ? $\endgroup$ Commented Feb 23, 2021 at 17:16
  • $\begingroup$ You should investigate further, using one manifold learning algorithm in these situations doesn't seem correct. $\endgroup$ Commented Feb 23, 2021 at 17:18

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