摘要: Graphical displays which show inter-sample distances are important for the interpretation and presentation of multivariate data. Except when two-dimensional, however, they often difficult to visualize as a whole. A device, based on multidimensional unfolding, is described presenting some intrinsically high-dimensional in fewer, usually two, dimensions. This goal achieved by representing each sample pair points, say Ri ri, so that theoretical distance between i-th j-th samples represented twice, once rj Rj ri. Selfdistances andri need not be zero. The mathematical conditions unfolding exhibit symmetry established. Algorithms finding approximate fits, constrained symmetric, discussed examples given.
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