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Machine learning

Kielelezo cha Nje cha Mtaa (LOF)

Kielelezo cha Nje cha Mtaa (LOF) ni algoriti ya ugunduzi wa uhalifu isiyo na usimamizi inayotegemea msongamano, iliyoanzishwa na Breunig, Kriegel, Ng, na Sander mwaka 2000. Inampa kila nukta data alama ya nje inayoendelea ambayo inakadiria jinsi nukta hiyo ilivyo pekee ikilinganishwa na mtaa wake wa karibu, ikiruhusu kugundua uhalifu ambao mbinu za kimataifa hukosa kwa sababu zinachanganyika na makundi yenye msongamano mahali pengine kwenye nafasi.

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Vyanzo

  1. Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000). LOF: Identifying density-based local outliers. Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, 93–104. DOI: 10.1145/335191.335388
  2. Aggarwal, C. C. (2017). Outlier Analysis (2nd ed., Ch. 4). Springer. ISBN: 978-3-319-47577-6
  3. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The Elements of Statistical Learning (2nd ed., Ch. 14). Springer. ISBN: 978-0-387-84857-0

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Local Outlier Factor (LOF): Density-Based Anomaly Detection. ScholarGate. https://scholargate.app/sw/machine-learning/local-outlier-factor

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Imerejelewa na

ScholarGateLocal Outlier Factor (Local Outlier Factor (LOF): Density-Based Anomaly Detection). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/machine-learning/local-outlier-factor · Seti ya data: https://doi.org/10.5281/zenodo.20539026