Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Allow for Constrained K-Means Clustering #9179

Closed
exalate-issue-sync bot opened this issue May 12, 2023 · 3 comments
Closed

Allow for Constrained K-Means Clustering #9179

exalate-issue-sync bot opened this issue May 12, 2023 · 3 comments

Comments

@exalate-issue-sync
Copy link

We should update our K-Means Algorithm to allow users to specify whether they want each cluster to have at least a certain number of observations.

A description of this concept in further detail can be found [here|https://pdfs.semanticscholar.org/ecad/eb93378d7911c2f7b9bd83a8af55d7fa9e06.pdf].

@exalate-issue-sync
Copy link
Author

Nidhi Mehta commented: #94269 (https://support.h2o.ai/a/tickets/94269) - K-Means Algorithm

@exalate-issue-sync
Copy link
Author

Angela Bartz commented: Created PUBDEV-7213 to add this new parameter to the User Guide.

@h2o-ops
Copy link
Collaborator

h2o-ops commented May 14, 2023

JIRA Issue Migration Info

Jira Issue: PUBDEV-6447
Assignee: Veronika Maurerová
Reporter: Lauren DiPerna
State: Resolved
Fix Version: 3.28.0.4
Attachments: N/A
Development PRs: Available

Linked PRs from JIRA

#4067
#4215

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant