Bayesian k-Nearest Neighbors
Bayesian k-Nearest Neighbors (Bayesian KNN) huendeleza algoriti ya kawaida ya KNN kwa kuweka usambazaji wa awali juu ya ukubwa wa ujirani k na kuchanganya ushahidi wa uwezekano kutoka kwa majirani na ule wa awali ili kuzalisha uwezekano wa darasa la nyuma uliorekebishwa. Inadumisha mantiki ya msingi ya kisa kinachotegemea data ya KNN huku ikiongeza upimaji wa uhakika wa kimahesabu juu ya utabiri.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- 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 ↗
- K-nearest neighbors algorithm. Wikipedia. link ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). Bayesian k-Nearest Neighbors Classifier. ScholarGate. https://scholargate.app/sw/machine-learning/bayesian-k-nearest-neighbors
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- Regresheni ya LogistikiTakwimu za Utafiti↔ linganisha
- Naive BayesUjifunzaji wa Mashine↔ linganisha
- Msitu NasibuUjifunzaji wa Mashine↔ linganisha
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