Kernel isomap
SCIE
SCOPUS
- Title
- Kernel isomap
- Authors
- Choi, H; Choi, S
- Date Issued
- 2004-12-09
- Publisher
- IEE-INST ELEC ENG
- Abstract
- Isomap is a manifold learning algorithm, which extends classical multidimensional scaling by considering approximate geodesic distance instead of Euclidean distance. The approximate geodesic distance matrix can be interpreted as a kernel matrix, which implies that Isomap can be solved by a kernel eigenvalue problem. However, the geodesic distance kernel matrix is not guaranteed to be positive semi-definite. A constant-adding method is employed which leads to the Mercer kernel-based Isomap algorithm. Numerical experimental results with noisy. 'Swiss roll' data, confirm the validity and high performance of the kermel Isomap algorithm.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/24863
- DOI
- 10.1049/el:20046791
- ISSN
- 0013-5194
- Article Type
- Article
- Citation
- ELECTRONICS LETTERS, vol. 40, no. 25, page. 1612 - 1613, 2004-12-09
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