refund: cmdscale_lanczos – R documentation

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cmdscale_lanczos

Faster multi-dimensional scaling

This is a modified version of cmdscale that uses the Lanczos procedure (slanczos) instead of eigen. Called by smooth.construct.pco.smooth.spec.

cmdscale_lanczos(d, k = 2, eig = FALSE, add = FALSE, x.ret = FALSE)

`d`	a distance structure as returned by `dist`, or a full symmetric matrix of distances or dissimilarities.
`k`	the maximum dimension of the space which the data are to be represented in; must be in `{1, 2, ..., n-1}`.
`eig`	logical indicating whether eigenvalues should be returned.
`add`	logical indicating if the additive constant of Cailliez (1983) should be computed, and added to the non-diagonal dissimilarities such that the modified dissimilarities are Euclidean.
`x.ret`	indicates whether the doubly centred symmetric distance matrix should be returned.

David L Miller, based on code by R Core.

Cailliez, F. (1983). The analytical solution of the additive constant problem. Psychometrika, 48, 343-349.