Multidimensional Scaling (MDS) is a classical data dimensionality reduction method, and it is also a means of data visualization. The earliest origin of this problem is how to reconstruct Euclidean coordinates when we can only obtain the similarity matrix between objects. For example, for many cities in a country, if we can not determine their latitude and longitude information, but know the distance between all cities, you can MDS method to represent these similarity distance data, presented in two-dimensional Coordinate.

Filename	Size	Update
MDS.m
Modern Multidimensional Scaling	Theory and Applications	2ed.pdf

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