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Number of items: 2.


Adachi, Kohei and Trendafilov, Nickolay T. (2017). Sparsest factor analysis for clustering variables: a matrix decomposition approach. Advances in Data Analysis and Classification (Early Access). restricted access item, not available for direct download


Albers, Casper J. and Gower, John C. (2010). A general approach to handling missing values in Procrustes analysis. Advances in Data Analysis and Classification, 4(4) pp. 223–237.

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