Abstract

An algorithm for the analysis of multivariate data is presented along with some experimental results. The algorithm is based upon a point mapping of N L-dimensional vectors from the L-space to a lower-dimensional space such that the inherent data "structure" is approximately preserved.

Keywords

AlgorithmData structureComputer sciencePoint (geometry)Space (punctuation)Nonlinear systemData spaceMathematicsArtificial intelligenceGeometryPhysics

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Publication Info

Year
1969
Type
article
Volume
C-18
Issue
5
Pages
401-409
Citations
3379
Access
Closed

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John W. Sammon (1969). A Nonlinear Mapping for Data Structure Analysis. IEEE Transactions on Computers , C-18 (5) , 401-409. https://doi.org/10.1109/t-c.1969.222678

Identifiers

DOI
10.1109/t-c.1969.222678