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Arrow Diagrams for Kernel Principal Component AnalysisArrow Diagrams for Kernel Principal Component Analysis
- Other Titles
- Arrow Diagrams for Kernel Principal Component Analysis
- Authors
- 허명회
- Issue Date
- 2013
- Publisher
- 한국통계학회
- Keywords
- Principal component analysis; kernel method; radial basis function; biplot; arrow diagram.
- Citation
- Communications for Statistical Applications and Methods, v.20, no.3, pp.175 - 184
- Indexed
- KCI
- Volume
- 20
- Number
- 3
- Start Page
- 175
- End Page
- 184
- ISSN
- 2287-7843
- Abstract
- Kernel principal component analysis(PCA) maps observations in nonlinear feature space to a reduced dimensional plane of principal components. We do not need to specify the feature space explicitly because the procedure uses the kernel trick. In this paper, we propose a graphical scheme to represent variables in the kernel principal component analysis. In addition, we propose an index for individual variables to measure the importance in the principal component plane.
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