Keywords
Affiliated Institutions
Related Publications
Analysis of Individual Differences in Multidimensional Scaling Via an N-way Generalization of “Eckart-Young” Decomposition
An individual differences model for multidimensional scaling is outlined in which individuals are assumed differentially to weight the several dimensions of a common “psychologi...
Numerical operator calculus in higher dimensions
When an algorithm in dimension one is extended to dimension d , in nearly every case its computational cost is taken to the power d . This fundamental difficulty is the single g...
Cross-Validatory Choice of the Number of Components From a Principal Component Analysis
A method is described for choosing the number of components to retain in a principal component analysis when the aim is dimensionality reduction. The correspondence between prin...
Stopping Rules in Principal Components Analysis: A Comparison of Heuristical and Statistical Approaches
Approaches to determining the number of components to interpret from principal components analysis were compared. Heuristic procedures included: retaining components with eigenv...
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA
In this letter, we show a direct relation between spectral embedding methods and kernel principal components analysis and how both are special cases of a more general learning p...
Publication Info
- Year
- 1977
- Type
- article
- Volume
- 15
- Issue
- 3
- Pages
- 234-281
- Citations
- 9823
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1016/0022-2496(77)90033-5