How to cluster a list of multiple sets using clustering data-mining algorithms?

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I have a list of multiple sets as an input, for example:

[
{{0, 1, 3}, {2, 4, 5, 8}, {6, 7, 9, 10}}, 
{{0, 1, 2, 3}, {4, 5, 8}, {6, 7, 9}, {10}}, 
{{0, 1, 2, 3}, {4, 5, 8}, {6, 7, 9}, {10}}, 
{{0}, {1, 2, 3}, {4, 5, 6, 7, 8, 9, 10}}, 
...
]

Every row in the list is a set, which contains multiple sets that aggregate the numbers 1~10.

I want to cluster these rows so that the rows that cluster numbers 1-10 following a similar pattern will be clustered.

I have been contemplating for a long time, still can't come up with any ideas of how to make these rows clusterable by clustering algorithm like k-means.

Please give me hints, thank you very much.

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