Abstract

Nonlinear mapping has been used in the past for data structure analysis. Many interesting heuristic approaches to map n-dimensional data to a lower dimensional space such that the local structure of the original data is reserved have been proposed by Kruskal, Sammon, and others. Basically, a criterion for local structure preservation is first defined, then a new data configuration is obtained by an iterative process to minimize the selected criterion.

Date of this Version

1979

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