[D] Classical Clustering Benchmarks

Besides for MNIST, what datasets are generally standard to test a method out on? I am looking to test out a non-deep clustering method on various benchmarks.

When I look at papers accepted into top ML conferences like NeurIPS, ICML and ICLR, there doesn't appear to be a consistent set of benchmarks. Is there a standard set of clustering benchmarks one is supposed to deploy new methods on?

( I would not expect it this method I'm testing to perform …

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