Multidimensional Scaling

From Cohen Courses
Revision as of 17:55, 1 April 2011 by Ssomanch (talk | contribs)
Jump to navigationJump to search

Multidimensional scaling (MDS) takes input a matrix of distances where denotes the target distance between entity and entity . It produces an matrix where the th row is the position in p-dimensional latent space. MDS transforms the pairwise distance matrix D into a similarity matrix \tilde D using linear transformations

External Link

Relevant Papers