Multidimensional scaling: Difference between revisions

Content deleted Content added
AVM2019 (talk | contribs)
Types: Classical multidimensional scaling - Removed unnecessary and confusing example
WikiCleanerBot (talk | contribs)
m v2.05b - Bot T20 CW#61 - Fix errors for CW project (Reference before punctuation)
Line 32:
===Classical multidimensional scaling===
 
It is also known as '''Principal Coordinates Analysis''' (PCoA), Torgerson Scaling or Torgerson–Gower scaling. It takes an input matrix giving dissimilarities between pairs of items and outputs a coordinate matrix whose configuration minimizes a [[loss function]] called ''strain.'',<ref name="borg"/>, which is given by
<math display=block>\text{Strain}_D(x_1,x_2,...,x_N)=\Biggl(\frac{ \sum_{i,j} \bigl( b_{ij} - x_i^T x_j \bigr)^2}{\sum_{i,j}b_{ij}^2} \Biggr)^{1/2},</math>
where <math>x_{i}</math> denote vectors in ''N''-dimensional space, <math>x_i^T x_j </math> denotes the scalar product between <math>x_{i}</math> and <math>x_{j}</math>, and <math>b_{ij}</math> are the elements of the matrix <math>B</math> defined on step 2 of the following algorithm, which are computed from the distances.