An improved algorithm for kernel principal component analysis

Neural Processing Letters

Volumn 22, Issue 1, 2005, Pages 49-56

  Zheng, Wenming ^a   Zou, Cairong ^a   Zhao, Li ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Eigenvalue decomposition; Feature extraction; Kernel principal component analysis

Indexed keywords

ALGORITHMS; COSTS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; LARGE SCALE SYSTEMS; PROBLEM SOLVING; REGRESSION ANALYSIS;

EIGENVALUE DECOMPOSITION; EXPECTATION MAXIMIZATION (EX); KERNEL MATRIX; KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA);

PRINCIPAL COMPONENT ANALYSIS;

EID: 23844545358     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11063-004-0036-x     Document Type: Review

References (6)

1. Schölkopf, B., Smola, A. and Müller, K. R.: Nonlinear component analysis as a kernel eigenvalue problem, Neural Computation 10, (1998), 1299-1319.
2. Jolliffe, I. T.: Principal Component Analysis, Springer-Verlag, New York, 1986.
3. Rosipal, R., Girolami, M., Trejo, L. and Cichocki A.: Kernel PCA for feature extraction and de-noising in nonlinear regression, Neural Computing & Application 10, (2001), 231-243.
4. Rosipal, R. and Girolami, M.: An expectation-maximization approach to nonlinear component analysis, Neural Computation 13, (2001), 505-510.
5. Ham, F. M. and Kostanic, I.: Principles of Neurocomputing for Science and Engineering, McGraw-Hill Companies, Inc, New York 2001.
6. Zheng, W., Zhao, L. and Zou, C.: Locally nearest neighbor classifiers for pattern classification, Pattern Recognition 37, (2004), 1307-1309.