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Ujifundishaji wa Nusu-Nusu wa Majirani-K-Karibu

Ujifundishaji wa Nusu-Nusu wa Majirani-K-Karibu unapanua algorithmu ya kawaida ya majirani-K-karibu ili kutumia hifadhi kubwa za data ambazo hazina lebo pamoja na seti ndogo yenye lebo. Kwa kujenga grafu ya KNN juu ya uchunguzi wote na kueneza lebo zinazojulikana kupitia kingo za grafu, njia hiyo inadhani lebo kwa alama ambazo hazina lebo bila kuhitaji kuweka lebo kwa gharama kubwa kwa kila sampuli.

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Vyanzo

  1. Zhu, X. & Ghahramani, Z. (2002). Learning from labeled and unlabeled data with label propagation. Technical Report CMU-CALD-02-107, Carnegie Mellon University. link
  2. Chapelle, O., Scholkopf, B. & Zien, A. (Eds.) (2006). Semi-Supervised Learning. MIT Press. ISBN: 978-0-262-03358-9

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Semi-supervised K-Nearest Neighbors (Label Propagation via KNN Graph). ScholarGate. https://scholargate.app/sw/machine-learning/semi-supervised-k-nearest-neighbors

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Imerejelewa na

ScholarGateSemi-supervised K-nearest neighbors (Semi-supervised K-Nearest Neighbors (Label Propagation via KNN Graph)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/semi-supervised-k-nearest-neighbors · Seti ya data: https://doi.org/10.5281/zenodo.20539026