Work

An Approach to Nonlinear Mapping for Pattern Recognition

Year: 1979
Type: article
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.
Language: English
Open Access status: green
OpenAlex ID: W1518149053
FWCI:
Cites: 9
Cited by: 1
Related to: 10