Multi-dimensional scale (mds) and their applications
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Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset. It refers to a set of related ordination techniques used in information visualization, in particular to display the information contained in a distance matrix. It is a form of non-linear dimensionality reduction. An MDS algorithmaims to place each object in N-dimensionalspace such that the between-object distances are preserved as well as possible. Each object is then assigned coordinates in each of the Ndimensions. The number of dimensions of an MDS plot N can exceed 2 and is specified a priori. Choosing N=2 optimizes the object locations for a two-dimensional scatterplot
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