Skip to content
This repository was archived by the owner on Nov 19, 2020. It is now read-only.
This repository was archived by the owner on Nov 19, 2020. It is now read-only.

MachineLearning.KMeans: Balanced clustering #390

@jagbarcelo

Description

@jagbarcelo

Is there any tweak/configuration/settings/example that shows how to calculate clusters of same size using your Framework? If not, is this included in your plans for next releases?

Right now the only thing that I have managed to do is repeat the Learn method using different random seeds for the initial position of the centroid set, until (eventually) a balanced solution is found. Obviously this solution is not optimal at all. Despite the fact that the solutions found are not repeatable and the execution times vary.

Thanks.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions