The DOI matches its Crossref record; 13 of the 14 references it cites were found in a registry or an index.
On a Connection between Kernel PCA and Metric Multidimensional Scaling
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Cites
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1 of the 14 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- Critchley, F. (1978). Multidimensionsal scaling: A short critique and a new method. In L. C. A. Corsten & J. Hermnas (Eds.), COMPSTAT 1978. Vienna: Physica-Verlag.
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(2008) · Journal of Machine Learning Research · Cited by 33,051
Chapelle, O., Schölkopf, B., & Zien, A. (2006) · The MIT Press eBooks · doi:10.7551/mitpress/9780262033589.001.0001 · Cited by 4,642
Dimensionality Reduction: A Comparative Review
van der Maaten, L. J. P., Postma, E. O., & van den Herik, H. J. (2009) · Cited by 2,062
Gaussian Process Regression for Materials and Molecules
Deringer, V. L., Bartók, A. P., Bernstein, N., Wilkins, D. M., Ceriotti, M., & Cśanyi, G. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00022 · Cited by 1,293
Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models
Lawrence, N. D. (2005) · Cited by 906
Metadata
- Authors
- Williams, C. K. I.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Williams, Christopher K.I.
- Venue
- Machine Learning
- Published
- 2002-01
- Volume
- 46
- Issue
- 1-3
- Pages
- 11-19
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W1587720067
- Cited by
- 206
- References
- 14
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 15 · 2020: 6 · 2019: 9 · 2018: 6 · 2017: 6 · 2016: 11 · 2015: 16 · 2014: 15 · 2013: 13 · 2012: 12
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Machine Learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Stochastic Gradient Optimization Techniques
- Keywords
- kernel principal component analysis, metric multidimensional scaling, isotropic kernels, eigenvalue problem, stress function, dimensionality reduction, kernel methods
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