Encyclopedia of Statistics in Behavioral Science 2005
DOI: 10.1002/0470013192.bsa700
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Unidimensional Scaling

Abstract: This is an entry for The Encyclopedia of Statistics in Behavioral Science, to be published by Wiley in 2005. Unidimensional scaling is the special one-dimensional case of multidimensional scaling [5]. It is often discussed separately, because the unidimensional case is quite different from the general multidimensional case. It is applied in situations where we have a strong reason to believe there is only one interesting underlying dimension, such as time, ability, or preference. And unidimensional scaling tec… Show more

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Cited by 2 publications
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“…The usual gradient descent algorithm is inapplicable in such case since ∥x∥ is not differentiable at x = 0. Usual convergence theorems for gradient methods are invalid under such cases and local minimum points do not need to satisfy the stationary equations (De Leeuw, 2005). Hence, we slightly modify the gradient descent process to…”
Section: D2 Experiments Of Approximated Optimal Valuementioning
confidence: 99%
“…The usual gradient descent algorithm is inapplicable in such case since ∥x∥ is not differentiable at x = 0. Usual convergence theorems for gradient methods are invalid under such cases and local minimum points do not need to satisfy the stationary equations (De Leeuw, 2005). Hence, we slightly modify the gradient descent process to…”
Section: D2 Experiments Of Approximated Optimal Valuementioning
confidence: 99%
“…Unidimensional scaling is a one-dimensional alternative to MDS (De Leeuw, 2005) that works in a straight linenot in a circle. However, there are a number of statistical problems that are not adequately resolved by linear scales, given that they can be better addressed using circular scales.…”
Section: Unidimensional Scalingmentioning
confidence: 99%