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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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Cited by
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McInnes, L., Healy, J., & Melville, J. (2018) · arXiv · doi:10.48550/arxiv.1802.03426 · Cited by 7,101
Latent Space Approaches to Social Network Analysis
Hoff, P. D., Raftery, A. E., & Handcock, M. S. (2002) · Journal of the American Statistical Association · doi:10.1198/016214502388618906 · Cited by 1,917
Deep learning enables rapid identification of potent DDR1 kinase inhibitors
Zhavoronkov, A., Ivanenkov, Y. A., Aliper, A., Veselov, M. S., Aladinskiy, V. A., Aladinskaya, A. V., Terentiev, V. A., Polykovskiy, D. A., Kuznetsov, M. D., Asadulaev, A., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0224-x · Cited by 1,573
Performance of modularity maximization in practical contexts
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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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- CoChat. (2026). Citation check: A Nonlinear Mapping for Data Structure Analysis. https://app.cochat.ai/papers/10.1109/t-c.1969.222678
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- Sammon, J. W. (1969). A Nonlinear Mapping for Data Structure Analysis. IEEE Transactions on Computers. https://doi.org/10.1109/t-c.1969.222678
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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.
