This work provides an extension of the Forward Search to classical multidimensional scaling according to a double perspective: first, as a diagnostic tool in order to detect outlying units and monitor their influences on the main analysis results. Second, as a comparative tool when two or more solutions need to be compared. A case study from a clinical setting is then considered.
Solaro, N., Pagani, M. (2010). The Forward Search for classical multidimensional scaling when the starting data matrix is known. In F. Palumbo, C.N. Lauro, M.J. Greenacre (a cura di), Data Analysis and Classification (pp. 101-109). Springer [10.1007/978-3-642-03739-9_12].
The Forward Search for classical multidimensional scaling when the starting data matrix is known
SOLARO, NADIA;
2010
Abstract
This work provides an extension of the Forward Search to classical multidimensional scaling according to a double perspective: first, as a diagnostic tool in order to detect outlying units and monitor their influences on the main analysis results. Second, as a comparative tool when two or more solutions need to be compared. A case study from a clinical setting is then considered.
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