Abstract
INDSCAL is a specific model for simultaneous metric multidimensional scaling (MDS) of several data matrices. In the present work the INDSCAL problem is reformulated and studied as a dynamical system on the product manifold of orthonormal and diagonal matrices. The problem for fitting of the INDSCAL model to the data is solved. The resulting algorithms are globally convergent. Numerical examples illustrate their application. © Springer-Verlag 2004.
Cite
CITATION STYLE
Trendafilov, N. T. (2004). Orthonormality-constrained INDSCAL with nonnegative saliences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3044, 952–960. https://doi.org/10.1007/978-3-540-24709-8_100
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
