Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
Abstract
A new procedure is discussed which fits either the weighted or simple Euclidian model to data that may (a) be defined at either the nominal, ordinal, interval or ratio levels of measurement; (b) have missing observations; (c) be symmetric or asymmetric; (d) be conditional or unconditional; (e) be replicated or unreplicated; and (f) be continuous or discrete. Various special cases of the procedure include the most commonly used individual...
Paper Details
Title
Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
Published Date
Mar 1, 1977
Journal
Volume
42
Issue
1
Pages
7 - 67
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History