Machine learningMachine learning

Bajezijanski k-najbližih suseda

Bajezijanski k-najbližih suseda (Bajezijanski KNN) proširuje klasični KNN algoritam postavljanjem prior raspodele na veličinu susedstva k i kombinovanjem verovatnoće iz suseda sa tim priorom da bi se proizvele kalibrisane posteriorne verovatnoće klasa. Zadržava intuitivnu logiku KNN-a zasnovanu na instancama, dodajući principijelno kvantifikovanje nesigurnosti nad predviđanjima.

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Bajezijanski k-najbližih suseda
Logistička regresijaNaivni BejzSlučajna šuma

Izvori

  1. Holmes, C. C., & Adams, N. M. (2002). A probabilistic nearest neighbour method for statistical pattern recognition. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 64(2), 295–306. DOI: 10.1111/1467-9868.00338
  2. K-nearest neighbors algorithm. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian k-Nearest Neighbors Classifier. ScholarGate. https://scholargate.app/sr/machine-learning/bayesian-k-nearest-neighbors

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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.

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ScholarGateBayesian k-nearest neighbors (Bayesian k-Nearest Neighbors Classifier). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/bayesian-k-nearest-neighbors · Skup podataka: https://doi.org/10.5281/zenodo.20539026