COMPSs K-means Version 1
Download RO-CrateK-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
Open
master9ff65b9
Creators and Submitter
Views: 1138 Downloads: 280
Created: 11th Oct 2022 at 11:28
TagsThis item has not yet been tagged.
AttributionsNone
Related items
https://orcid.org/0000-0003-0606-2512
Teams: Testing, Finn's test team, PNDB, LifeMonitorDev, iPC: individualizedPaediatricCure, test, Test Team, Australian BioCommons Dev, opscientia, V-pipe, UX study leave, DALiuGE workflows, Team1, UX study, My Fancy Team, Team UX Study11, My team, ux study team, UX study koehorst, Team Koehorst, UX Study (satra), Steve's UX Study Test Team, TestSaandra, KJ-workflow-test, NewTeam, team, UXStudy, A Team, UX study K, UXStudy99, Study team, Another new team, UX study2, Team 20220225, my new team, UX Study AU, Testing_proteomics, A test space (KKH), Pleiade, QSM4SENIOR, IGG-Bioinfo, Defragmentation training school, FWCC-D@HZDR, Submission Tutorial, Testing team, Galaxy Training Network, Exploring SEEK SOP functionality, MyTest, Tsinghua University BCI group, Test Team Number Nine, Eli's test team, EMBL Bioimage analysis service, Hu's Test, test 705c32e038d0, Workshop Mar 2025 Test Out
Web page: Not specified
