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I am using python sklearn.cluster to do clustering. I only have 225 data and each data is of dimension 250. Now I want to plot the resultant clusters. I tried to use the method introduced in Plot multi-dimension cluster to 2D plot python, but because in this answer matplotlib.mlab.PCA is used so I got the error 

we assume data in a is organized with numrows>numcols

Now I don't know how to plot my clusters with so high dimensions and make it easy and intuitive to visualize. Any idea is appreciated. Thanks in advance.

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You can take a look at the page on manifold learning.

"Manifold Learning can be thought of as an attempt to generalize linear frameworks like PCA to be sensitive to non-linear structure in data."

Here are some examples of the results of various algorithms with a low dimensional dataset.

enter image description here

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Thank you very much for your answer, it helps me a lot!

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