Cited by 206Face and Expression RecognitionStatistical Methods and ApplicationsStochastic Gradient Optimization Techniques

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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Williams, Christopher K.I.·2002·Machine Learning

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  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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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
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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