Linganisha mbinu

	Uchanganuzi Imara wa Uhusiano wa Kawaida (Robust CCA)	Uendeshaji wa pande nyingi wenye uthabiti (Robust MDS)
Nyanja	Takwimu	Takwimu
Familia	Latent structure	Latent structure
Mwaka wa asili	2003	2002 (robust extension); 1952 (classical MDS)
Mwanzilishi	Croux & Dehon (building on Hotelling's CCA framework)	Hubert, Arabie, and Meulman (robust extensions); classical MDS by Torgerson (1952)
Aina	Robust multivariate association	Dimensionality reduction / proximity scaling
Chanzo asilia	Croux, C. & Dehon, C. (2003). Robust estimation of the canonical correlations. Computational Statistics, 18(3), 555–569.	Hubert, L., Arabie, P. & Meulman, J. (2002). Linear unidimensional scaling in the L2-norm: Basic optimization methods using SMACOF. Journal of Classification, 19(2), 303–327.
Majina mbadala	Robust CCA, RCCA, robust CCA, outlier-resistant canonical correlation	Robust MDS, outlier-resistant MDS, robust proximity scaling
Zinazohusiana	4	4
Muhtasari	Robust canonical correlation analysis extends classical CCA by replacing the standard sample covariance matrix with a robust estimator — such as the Minimum Covariance Determinant (MCD) or S-estimator — so that outlying observations do not distort the estimated canonical correlations and canonical variates between two sets of variables.	Robust multidimensional scaling recovers a low-dimensional spatial map from a matrix of pairwise dissimilarities while resisting distortion caused by outlying or erroneous proximity values. By replacing squared-error loss with a robust loss function or down-weighting suspect pairs, it produces a configuration that faithfully represents the bulk of the data even when some distances are grossly atypical.