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A Nonlinear Mapping for Data Structure Analysis
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.
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Metadata
- Authors
- Sammon, J. W.
- Venue
- IEEE Transactions on Computers
- Published
- 1969-05
- Volume
- C-18
- Issue
- 5
- Pages
- 401-409
- ISSN
- 0018-9340 (ISSN-L)
- 1557-9956
- 2326-3814
- OpenAlex
- W2134312057
- Cited by
- 3,380
- References
- 0
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
