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Robust Multiple Correspondence Analysis

Robust Multiple Correspondence Analysis extends classical MCA to datasets containing outlying or atypical rows of categorical data. By downweighting influential observations before the singular value decomposition, it produces a low-dimensional map of category relationships that faithfully represents the bulk of the data rather than being distorted by a handful of anomalous cases.

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Rekod kaedah taksonomik · latent-structure / statistics

Greenacre, M. J. (2017). Correspondence Analysis in Practice (3rd ed.). Chapman & Hall / CRC Press, Boca Raton. · ISBN 978-1498731775
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

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Taxonomic bucketCluster Analysismachine-suggested · Relational suggestion, not evidence.Same method familyCorrespondence Analysismachine-suggested · Relational suggestion, not evidence.Same method familyMultiple Correspondence Analysismachine-suggested · Relational suggestion, not evidence.Same method familyRobust Exploratory Factor Analysismachine-suggested · Relational suggestion, not evidence.