e/Stress majorization

Information
has gloss	eng: Stress majorization is an optimization strategy used in multidimensional scaling (MDS) where, for a set of n, m-dimensional data items, a configuration X of n points in r(<<m)-dimensional space is sought that minimises the so called stress function \sigma(X). Usually r is 2 or 3, i.e. the r\times n matrix X lists points in 2- or 3-dimensional Euclidean space so that the result may be visualised (i.e. an MDS plot). The function \sigma is a loss or cost function that measures the squared differences between ideal (m-dimensional) distances and actual distances in r-dimensional space. It is defined as:
lexicalization	eng: Stress majorization
instance of	e/Multivariate statistics