Method / resourcemodel-written summary

The RCDA cluster ensemble algorithm improved clustering to a great extent compared with traditional clustering algorithms on the chickpea germplasm dataset.

A claim from Germplasm evaluation using cluster ensemble · 2016

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The RCDA cluster ensemble algorithm improved clustering to a great extent compared with traditional clustering algorithms on the chickpea germplasm dataset.

Taxon
chickpeaCicer arietinume1
Material
chickpea germplasme1
Outcome
clusteringe2
Direction
improvede2
Qualifier
to a great extente2
Comparator
traditional clustering algorithme2

Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValue

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Cicer arietinum
Cicer arietinum · TaxonSanjay Acharya · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e1

“RCDA algorithm runs on chickpea germplasm dataset”

✓ located verbatim in the source · abstract, characters 1133–1182
e2

“critical evaluation shows that RCDA cluster ensemble algorithm improved to a great extent as compared to traditional clustering algorithm”

✓ located verbatim in the source · abstract, characters 1187–1324

Title

Germplasm evaluation using cluster ensemble

Sangeeta Ahuja; H L Raiger; Abhishek Choubey; et al. 2016

Other claims from this paper (1)

Record rev-87b26ef051ac4e0def3e181d895fc55949d7d387bc1e90101de9f481c4cc6b07 · schema claims-v0.9 · position 2 in the model’s answer