COMPSs K-means
Version 1

Workflow Type: COMPSs

K-means clustering is a method of cluster analysis that aims to partition ''n'' points into ''k'' clusters in which each point belongs to the cluster with the nearest mean. It follows an iterative refinement strategy to find the centers of natural clusters in the data.

Click and drag the diagram to pan, double click or use the controls to zoom.

Version History

Version 1 (earliest) Created 11th Oct 2022 at 11:28 by Raül Sirvent

No revision comments

Open master 9ff65b9
help Creators and Submitter
Creators
Not specified
Submitter
Activity

Views: 475

Created: 11th Oct 2022 at 11:28

help Tags

This item has not yet been tagged.

help Attributions

None

Total size: 263 KB
Powered by
(v.1.15.0-pre)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH