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In classical multidimensional scaling, it says the computation assumes euclidean distances. This is not true, other metric distances can be used. |
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:# Determine the <math display="inline">m</math> largest [[Eigenvalues and eigenvectors|eigenvalues]] <math display="inline">\lambda_1,\lambda_2,...,\lambda_m</math> and corresponding [[Eigenvalues and eigenvectors|eigenvectors]] <math display="inline">e_1,e_2,...,e_m</math> of <math display="inline">B</math> (where <math display="inline">m</math> is the number of dimensions desired for the output).
:# Now, <math display="inline">X=E_m\Lambda_m^{1/2}</math> , where <math display="inline">E_m</math> is the matrix of <math display="inline">m</math> eigenvectors and <math display="inline">\Lambda_m</math> is the [[diagonal matrix]] of <math display="inline">m</math> eigenvalues of <math display="inline">B</math>.
:Classical MDS assumes
=== Metric multidimensional scaling (mMDS) ===
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