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Latent structureMultivariate analysis

Uchanganuzi Imara wa Mawasiliano Mengi (Robust MCA)

Uchanganuzi Imara wa Mawasiliano Mengi huongeza uwezo wa MCA ya kawaida kwenye seti za data zenye safu wima za data za kategoria zenye kasoro au zisizo za kawaida. Kwa kupunguza uzito wa uchunguzi wenye ushawishi kabla ya mtengano wa thamani moja, inazalisha ramani ya pande chache ya uhusiano wa kategoria ambayo inawakilisha kwa uaminifu sehemu kubwa ya data badala ya kupotoshwa na visa vichache visivyo vya kawaida.

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Vyanzo

  1. Greenacre, M. J. (2017). Correspondence Analysis in Practice (3rd ed.). Chapman & Hall / CRC Press, Boca Raton. ISBN: 978-1498731775
  2. Hubert, M., Rousseeuw, P. J. & Verboven, S. (2004). A robust PCR method for high-dimensional regressors. Journal of Chemometrics, 17(8–9), 438–452. DOI: 10.1002/cem.783

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Multiple Correspondence Analysis. ScholarGate. https://scholargate.app/sw/statistics/robust-multiple-correspondence-analysis

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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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Imerejelewa na

ScholarGateRobust Multiple Correspondence Analysis (Robust Multiple Correspondence Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/statistics/robust-multiple-correspondence-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026