On a connection between kernel PCA and metric multidimensional scaling

Machine Learning

Volumn 46, Issue 1-3, 2002, Pages 11-19

  Williams, Christopher K I ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Eigenproblem; Kernel PCA; MDS; Metric multidimensional scaling

Indexed keywords

ALGEBRA; EIGENVALUES AND EIGENFUNCTIONS; FUNCTIONS; ITERATIVE METHODS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

EIGENPROBLEM; KERNEL FUNCTION; KERNEL PRINCIPAL COMPONENT ANALYSIS ALGORITHM; METRIC MULTIDIMENSIONAL SCALING; STRESS OBJECTIVE FUNCTION;

LEARNING ALGORITHMS;

EID: 0036165146     PISSN: 08856125     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012485807823     Document Type: Article

References (11)

1. Multidimensional scaling: A short critique and a new method
2. A nonlinear mapping for data structure analysis
3. Nonlinear component analysis as a kernel eigenvalue problem
4. Bayesian classification with Gaussian processes