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A Note on ALSCAL: The Estimation of the Additive Constant
Published online by Cambridge University Press: 01 January 2025
Abstract
A method is given for the least squares regression of a squared variable d2 on the squared variable 02, where the relation between 0 and d is linear. The problem arises in MDS-algorithms where the loss function is defined in terms of squared distances (e.g., ALSCAL). It is pointed out that the Lagrangian multiplier is a root of fourth degree polynomial.
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- Copyright © 1981 The Psychometric Society
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