ScholarGate
Asistent
MCDMClustering Validation

Silueta koeficijent

Silueta koeficijent, koji je uveo Peter Rousseeuw 1987. godine, metrika je koja meri koliko je neki objekat sličan sopstvenom klasteru u poređenju sa drugim klasterima. Kreće se u opsegu od -1 do 1, gde vrednosti bliske 1 ukazuju na dobro razdvojene i kohezivne klastere, vrednosti blizu 0 sugerišu preklapajuće klastere, a negativne vrednosti ukazuju na pogrešno klasifikovane tačke.

Otvorite u MethodMindUskoroVideoUskoroDownload slides

Pročitajte celu metodu

Samo za članove

Prijavite se besplatnim nalogom da biste pročitali ovaj odeljak.

Prijavite se

Method map

The neighbourhood of related methods — select a node to explore.

Izvori

  1. Rousseeuw, P. J. (1987). Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics, 20, 53-65. DOI: 10.1016/0377-0427(87)90125-7

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Silhouette Coefficient. ScholarGate. https://scholargate.app/sr/model-evaluation/silhouette-score

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Citirana u

ScholarGateSilhouette Score (Silhouette Coefficient). Preuzeto 2026-06-15 sa https://scholargate.app/sr/model-evaluation/silhouette-score · Skup podataka: https://doi.org/10.5281/zenodo.20539026