Skip to content

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

@notnot

Description

@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?

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions