condMDSeigen: Conditional Multidimensional Scaling With Closed-Form Solution
Description
Provides a closed-form solution for conditional multidimensional scaling, based on multiple linear regression and eigendecomposition.
Usage
condMDSeigen(d, V, u.dim, method = c('matrix', 'vector'))Value
- U
the embedding result.
- B
the estimated B matrix.
- eig
the computed eigenvalues.
- stress
the corresponding normalized conditional stress value of the solution.
Arguments
- d
a dist object of N entities.
- V
an Nxq matrix of q manifold auxiliary parameter values of the N entities.
- u.dim
the embedding dimension.
- method
if matrix, there are no restrictions for the B matrix . If vector, the B matrix is restricted to be diagonal.
References
Bui, A. T. (2022). A Closed-Form Solution for Conditional Multidimensional Scaling. Pattern Recognition Letters 164, 148-152. https://doi.org/10.1016/j.patrec.2022.11.007