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estimate of the number of clusters is always 1? #2

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@notnot

No matter how my sample points are spread out (often very obviously clustered), Estimate() always returns 1.
TestKmeansEstimator(t *testing.T) uses 1 as the expected value also, is this a temporary workaround until the functionality is fully implemented?

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